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SPIRES-BOOKS: FIND KEYWORD NEUROSCIENCES *END*INIT* use /tmp/qspiwww.webspi1/12665.105 QRY 131.225.70.96 . find keyword neurosciences ( in books using www Cover
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Call number:SPRINGER-2016-9783319395524:ONLINE Show nearby items on shelf
Title:Form Versus Function: Theory and Models for Neuronal Substrates
Author(s): Mihai Alexandru Petrovici
Date:2016
Size:1 online resource (101 p.)
Note:10.1007/978-3-319-39552-4
Contents:Prologue -- Introduction: From Biological Experiments to Mathematical Models -- Artificial Brains: Simulation and Emulation of Neural Networks -- Dynamics and Statistics of Poisson-Driven LIF Neurons -- Cortical Models on Neuromorphic
Hardware -- Probabilistic Inference in Neural Networks -- Epilogue
ISBN:9783319395524
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Neurosciences , Computer simulation , Neurobiology , Neural networks (Computer science) , Physics , Numerical and Computational Physics , Mathematical Models of Cognitive Processes and Neural Networks , Neurobiology , Neurosciences , Simulation and Modeling
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Call number:SPRINGER-2016-9783319322858:ONLINE Show nearby items on shelf
Title:Computational Modeling of Neural Activities for Statistical Inference
Author(s): Antonio Kolossa
Date:2016
Size:1 online resource (20 p.)
Note:10.1007/978-3-319-32285-8
Contents:Basic Principles of ERP Research, Surprise, and Probability Estimation -- Introduction to Model Estimation and Selection Methods -- A New Theory of Trial-by-Trial P300 Amplitude Fluctuations -- Bayesian Inference and the Urn-Ball Task -- Summary an d Outlook
ISBN:9783319322858
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Neurosciences , Computer simulation , Neural networks (Computer science) , Biomathematics , Biomedical engineering , Mathematics , Mathematical Models of Cognitive Processes and Neural Networks , Biomedical Engineering , Neurosciences , Physiological, Cellular and Medical Topics , Simulation and Modeling
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Call number:SPRINGER-2016-9783319296470:ONLINE Show nearby items on shelf
Title:Models of Calcium Signalling
Author(s): Geneviève Dupont
Date:2016
Size:1 online resource (38 p.)
Note:10.1007/978-3-319-29647-0
Contents:Some Background Physiology -- The Calcium Toolbox -- Basic Modeling Principles: Deterministic Models -- Hierarchical and Stochastic Modeling -- Nonlinear Dynamics of Calcium -- Nonexcitable Cells -- Muscle -- Neurons and Other Excitable Cells
ISBN:9783319296470
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Interdisciplinary Applied Mathematics: 43
Keywords: Mathematics , Neurosciences , Biomathematics , Systems biology , Biological systems , Mathematics , Mathematical and Computational Biology , Biological Networks, Systems Biology , Neurosciences
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Call number:SPRINGER-2016-9783319269115:ONLINE Show nearby items on shelf
Title:Stochastic Neuron Models
Author(s): Priscilla E Greenwood
Date:2016
Edition:1st ed. 2016
Size:1 online resource (12 p.)
Note:10.1007/978-3-319-26911-5
Contents:Introduction -- Single Neuron Models -- Population and Subpopulation Models -- Spatially-structured Neural Systems -- The Bigger Picture
ISBN:9783319269115
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Mathematical Biosciences Institute Lecture Series : 1.5
Keywords: Mathematics , Neurosciences , Probabilities , Biomathematics , Statistics , Mathematics , Physiological, Cellular and Medical Topics , Probability Theory and Stochastic Processes , Neurosciences , Statistics for Life Sciences, Medicine, Health Sciences
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Call number:SPRINGER-2014-9783642545931:ONLINE Show nearby items on shelf
Title:Neural Fields [electronic resource] : Theory and Applications
Author(s): Stephen Coombes
Peter beim Graben
Roland Potthast
James Wright
Date:2014
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:With this book, the editors present the first comprehensive collection in neural field studies, authored by leading scientists in the field - among them are two of the founding-fathers of neural field theory. Up to now, researchresults in the field h ave been disseminated across a number of distinct journals from mathematics, computational neuroscience, biophysics, cognitive science and others. Starting with a tutorial for novices in neural field studies, thebook comprises chapters on emergent pattern s, their phase transitions and evolution, on stochastic approaches, cortical development, cognition, robotics and computation, large-scale numerical simulations, the coupling of neural fieldsto the electroencephalogram and phase transitions in anesthesia. The intended readership are students and scientists in applied mathematics, theoretical physics, theoretical biology, and computational neuroscience. Neural field theoryand its applications have a long-standing tradition in the mathematical and computati onal neurosciences. Beginning almost 50 years ago with seminal work by Griffiths and culminating in the 1970ties with the models of Wilson and Cowan,Nunez and Amari, this important research area experienced a renaissance during the 1990ties by the groups of Ermentrout, Bressloff, Haken, and Wright. Since then, much progress has been made in both, the development of mathematical andnumerical techniques, and in physiological refinement and understanding. In contrast to large-scale neural network models desc ribed by huge connectivity matrices that are computationally expensive in numerical simulations, neural fieldmodels described by connectivity kernels allow for analytical treatment by means of functional analysis methods. Thus, a number of rigorous result s on the existence of bump and wave solutions or on inverse kernel construction problemsare nowadays available. Moreover, neural fields provide an important interface for the coupling of continuous neur
Contents:Preface
1.Tutorial on Neural Field Theory. S. Coombes, P. beim Graben and R. Potthast
Part I Theory of Neural Fields
2.A Personal Account of the Development of the Field Theory of Large
Scale Brain Activity from 1945 Onward. J. Cowan
3.HeavisideWorld: Excitation and Self
Organization of Neural Fields. Shun
ichi Amari
4.Spatiotemporal Pattern Formation in Neural Fields with Linear Adaptation. G.B. Ermentrout, S.E. Folias and Z.P. Kilpatrick
5.PDE Methods for Two
Dimensional Neural Fields. C.R. Laing
6.Numerical Simulation Scheme of One
and Two Dimensional Neural Fields Inv
ISBN:9783642545931
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differentiable dynamical systems , Functional analysis , Integral equations , Consciousness
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Call number:SPRINGER-2014-9781461496021:ONLINE Show nearby items on shelf
Title:Analysis of Neural Data [electronic resource]
Author(s): Robert E Kass
Uri T Eden
Emery N Brown
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitoustechniques, Analysis of Neural Data provides a unified treatment of analytical methods that have become essential for contemporary researchers. Throughout the book ideas are illustrated with more than 100 examples drawn from theliterature, ranging from electrophysiology, to n euroimaging, to behavior. By demonstrating the commonality among various statistical approaches the authors provide the crucial tools for gaining knowledge from diverse types of data.Aimed at experimentalists with only high-school level mathematics, as we ll as computationally-oriented neuroscientists who have limited familiarity with statistics, Analysis of Neural Data serves as both a self-contained introductionand a reference work
Contents:Introduction
Exploring Data
Probability and Random Variables
Random Vectors
Important Probability Distributions
Sequences of Random Variables
Estimation and Uncertainty
Estimation in Theory and Practice
Uncertainty and the Bootstrap
Statistical Significance
General Methods for Testing Hypotheses
Linear Regression
Analysis of Variance
Generalized Regression
Nonparametric Regression
Bayesian Methods
Multivariate Analysis
Time Series
Point Processes
Appendix: Mathematical Background
Example Index
Index
Bibliography
ISBN:9781461496021
Series:eBooks
Series:SpringerLink
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Neurosciences , Mathematical statistics , Psychology, clinical
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Call number:SPRINGER-2014-9781461488668:ONLINE Show nearby items on shelf
Title:Waves in Neural Media [electronic resource] : From Single Neurons to Neural Fields
Author(s): Paul C Bressloff
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Waves in Neural Media: From Single Cells to Neural Fields surveys mathematical models of traveling waves in the brain, ranging from intracellular waves in single neurons to waves of activity in large-scale brain networks. The workprovides a pedagogic al account of analytical methods for finding traveling wave solutions of the variety of nonlinear differential equations that arise in such models. These include regular and singular perturbation methods, weaklynonlinear analysis, Evans functions and wave stability, homogenization theory and averaging, and stochastic processes. Also covered in the text are exact methods of solution where applicable. Historically speaking, the propagation ofaction potentials has inspired new mathematics, particularly with regard tothe PDE theory of waves in excitable media. More recently, continuum neural field models of large-scale brain networks have generated a new set of interestingmathematical questions with regard tothe solution of nonlocal integro-differential equat ions. Advanced graduates, postdoctoral researchers and faculty working in mathematical biology, theoretical neuroscience, or applied nonlineardynamics will find this book to be a valuable resource. The main prerequisites are an introductory graduate cours e on ordinary differential equations and partial differential equations, making this an accessible and unique contributionto the field of mathematical biology.
Contents:Preface
Part I Neurons
Single Neuron Modeling
Traveling Waves in One
Dimensional Excitable Media
Wave Propagation Along Spiny Dendrites
Calcium Waves and Sparks
Part II Networks
Waves in Synaptically
Coupled Spiking Networks
Population Models and Neural Fields
Waves in Excitable Neural Fields
Neural Field Model of Binocular Rivalry Waves
Part III Development and Disease
Waves in the Developing and the Diseased Brain
Index
ISBN:9781461488668
Series:eBooks
Series:SpringerLink
Series:Lecture Notes on Mathematical Modelling in the Life Sciences, 2193-4789
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Neurosciences , Differential Equations , Physiology Mathematics , Distribution (Probability theory)
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Call number:SPRINGER-2013-9781461472186:ONLINE Show nearby items on shelf
Title:Predicting the Future [electronic resource] : Completing Models of Observed Complex Systems
Author(s): Henry Abarbanel
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Predicting the Future: Completing Models of Observed Complex Systems provides a general framework for the discussion of model building and validation across a broad spectrum of disciplines. This is accomplished through thedevelopment of an exact path integral for use in transferring information from observations to a model of the observed system. Through many illustrative examples drawn from models in neuroscience, fluid dynamics, geosciences, andnonlinear electrical circuits, the concepts are exempl ified in detail. Practical numerical methods for approximate evaluations of the path integral are explored, and their use in designing experiments and determining a model'sconsistency with observations is investigated. Using highly instructive examples, t he problems of data assimilation and the means to treat them are clearly illustrated. This book will be useful for students and practitioners ofphysics, neuroscience, regulatory networks, meteorology and climate science, network dynamics, fluid dynamics, and other systematic investigations of complex systems
Note:Springer eBooks
Contents:Preface
1 An Overview The Challenge of Complex Systems
2 Examples as a Guide to the Issues
3 General Formulation of Statistical Data Assimilation
4 Evaluating the Path Integral
5 Twin Experiments
6 Analysis of Experimental Data
ISBN:9781461472186
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Neurosciences , Computer simulation
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Call number:SPRINGER-2013-9781461449782:ONLINE Show nearby items on shelf
Title:Optical Methods and Instrumentation in Brain Imaging and Therapy [electronic resource]
Author(s): Steen J Madsen
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book provides a comprehensive up-to-date review of optical approaches used in brain imaging and therapy. It covers a variety of imaging techniques including diffuse optical imaging, laser speckle imaging, photoacousticimaging and optical coheren ce tomography. A number of laser-based therapeutic approaches are reviewed, including photodynamic therapy, fluorescence guided resection and photothermal therapy. Fundamental principles and instrumentationare discussed for each imaging and therapeutic te chnique. Represents the first publication dedicated solely to optical diagnostics and therapeutics in the brain Provides a comprehensive review of the principles of eachimaging/therapeutic modality Reviews the latest advances in instrumentation for optica l diagnostics in the brain Discusses new optical-based therapeutic approaches for brain diseases
Note:Springer eBooks
Contents:PREFACE
CHAPTER 1: OPTICAL PROPERTIES OF BRAIN TISSUE
CHAPTER 2: HISTORY OF DIFFUSE OPTICAL SPECTROSCOPY OF HUMAN TISSUE
CHAPTER 3: DIFFUSE OPTICAL TOMOGRAPHY FOR BRAIN IMAGING: CONTINUOUS WAVE INSTRUMENTATION AND LINEAR ANALYSIS METHODS
CHAPTER 4: DIFFUSE OPTICAL TOMOGRAPHY FOR BRAIN IMAGING: THEORY
CHAPTER 5: LASER SPECKLE IMAGING OF CEREBRAL BLOOD FLOW
CHAPTER 6: PHOTOACOUSTIC TOMOGRAPHY OF THE BRAIN
CHAPTER 7: OPTICAL COHERENCE TOMOGRAPHY FOR BRAIN IMAGING
CHAPTER 8: DELINEATING NORMAL FROM DISEASED BRAIN BY AMINOLEVULINIC ACID INDUCED FLUORESCENCE
CHAPTER 9: INT
ISBN:9781461449782
Series:e-books
Series:SpringerLink (Online service)
Series:Bioanalysis, Advanced Materials, Methods, and Devices : v3
Series:Physics and Astronomy (Springer-11651)
Keywords: Neurosciences , Radiology, Medical , Biomedical engineering
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Call number:SPRINGER-2012-9783642325601:ONLINE Show nearby items on shelf
Title:Singularity Hypotheses [electronic resource] : A Scientific and Philosophical Assessment
Author(s): Amnon H Eden
James H Moor
Johnny H Sraker
Eric Steinhart
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Singularity Hypotheses: A Scientific and Philosophical Assessment offers authoritative, jargon-free essays and critical commentaries on accelerating technological progress and the notion of technological singularity. It focuses onconjectures about th e intelligence explosion, transhumanism, and whole brain emulation. Recent years have seen a plethora of forecasts about the profound, disruptive impact that is likely to result from further progress in these areas.Many commentators however doubt the scie ntific rigor of these forecasts, rejecting them as speculative and unfounded. We therefore invited prominent computer scientists, physicists, philosophers, biologists, economists and otherthinkers to assess the singularity hypotheses. Their contributions go beyond speculation, providing deep insights into the main issues and a balanced picture of the debate
Note:Springer eBooks
Contents:Singularity Hypotheses: An Overview
Part 1: A Singularity of Artificial Superintelligence
Intelligence Explosion: Evidence and Import
The Threat of a Reward
Driven Adversarial Artificial General Intelligence
New Millenium Al and the Convergence of History 2012
Why an Intelligence Explosion is Probable
Part 2: Concerns About Artificial Superintelligence
The Singularity and Machine Ethics
Artificial General Intelligence and the Human Mental Model
Some Economic Incentives Facing a Business That Might Bring About a Technological Singularity
Rationally
shaped Artificia
ISBN:9783642325601
Series:e-books
Series:SpringerLink (Online service)
Series:The Frontiers Collection, 1612-3018
Series:Physics and Astronomy (Springer-11651)
Keywords: Engineering , Neurosciences , Technology Philosophy , Artificial intelligence , Computer science
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Call number:SPRINGER-2012-9781461444756:ONLINE Show nearby items on shelf
Title:Modeling Psychophysical Data in R [electronic resource]
Author(s): Kenneth Knoblauch
Laurence T Maloney
Date:2012
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Many of the commonly used methods for modeling and fitting psychophysical data are special cases of statistical procedures of great power and generality, notably the Generalized Linear Model (GLM). This book illustrates how to fitdata from a variety of psychophysical paradigms using modern statistical methods and the statistical language R.The paradigms include signal detection theory, psychometric function fitting, classification images and more. In twochapters, recently developed methods for scalin g appearance, maximum likelihood difference scaling and maximum likelihood conjoint measurement are examined.The authors also consider the applicationof mixed-effects models topsychophysical data. R is an open-source programming language that is widely us ed by statisticians and is seeing enormous growth in its application to data in all fields. It is interactive, containing many powerful facilities foroptimization, model evaluation, model selection, and graphical display of data. The reader who fits data in R can readily make use of these methods. The researcher who uses R to fit and model his data has access to most recentlydeveloped statistical methods. This book does not assume that the reader is familiar with R, and a little experience with any progra mming language is all that is needed to appreciate this book. There are large numbers of examples of Rin the text and the source code for all examples is available in an R package MPDiR available through R. Kenneth Knoblauch is a researcher in the Departm ent of Integrative Neurosciences in Inserm Unit 846, The Stem Cell and BrainResearch Institute and associated with the University Claude Bernard, Lyon 1, in France. Laurence T. Maloney is Professor of Psychology and Neural Science at New York University. His research focusses on applications of mathematicalmodels to perception, motor control and decision making
Note:Springer eBooks
Contents:A First Tour through R by Example
Modeling in R
Signal Detection Theory (SDT)
The Psychometric Function: Introduction
The Psychometric Function: Continuation
Classification Images
Maximum Likelihood Difference Scaling (MLDS)
Maximum Likelihood Conjoint Measurement (MLCM)
Mixed
Effect Models
Some Basics of R
Statistical Background
References
Index
ISBN:9781461444756
Series:e-books
Series:SpringerLink (Online service)
Series:Use R! : v32
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2011-9788847011182:ONLINE Show nearby items on shelf
Title:La strana storia della luce e del colore [electronic resource]
Author(s): Rodolfo Guzzi
Date:2011
Publisher:Milano : Springer Milan : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Sino al 1600 la luce era oggetto di studio degli scienziati ed il colore dei filosofi. Questa dicotomia fu superata dallEsperimentum Crucis di Newton che spiego come la luce contenesse il colore. Il libro analizza le teorieche furono sviluppate dai g reci, per evolversi successivamente nelle teorie degli scienziati arabi e approdare al medio evo. Con lEsperimentum Crucis Newton dimostro che la luce conteneva i colori primari. Tra gli esperimenti cheegli fece ci furono anche quelli sulla percezione che risultarono sbagliati solo Goethe capi quale era la vera portata di quegli esperimenti e li rifece dando una interpretazione che, oggi, sappiamo essere vera, ma che a quel tempofu alquanto osteggiata. Nel frattempo la comunita scientifica progrediva sul concetto di visione e di sensazione, poiche gli strumenti di indagine si raffinavano. Bisogna pero arrivare ai giorni nostri per avere unaspiegazione sul comportamento della luce e del colore e come questa viene percepita da noi. Solo con la nascita della fisica moderna e della QED (Quanto Elettro Dinamica) si incomincio a scoprire la vera essenza della luce e delcolore e solo con lo studio delle neuroscienze si inizio a capire quali aree del cervello fossero interessate al colore. Queste scienze sono anc ora agli albori e ogni giorno subiscono delle variazioni per cui, qui, verranno trattatesolo quelle scoperte che hanno un fondamento stabile. Il libro ha un taglio divulgativo e si rivolge a persone di media cultura, pur trattando gli argomenti in modo ap profondito ed esaustivo
Note:Springer eBooks
ISBN:9788847011182
Series:e-books
Series:SpringerLink (Online service)
Series:I blu, pagine di scienza, 2239-7477
Series:Physics and Astronomy (Springer-11651)
Keywords: Science History , Neurosciences , Science Study and teaching
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Call number:SPRINGER-2011-9783642196041:ONLINE Show nearby items on shelf
Title:Mathematical Image Processing [electronic resource] : University of Orlans, France, March 29th - April 1st, 2010
Author(s): Matine Bergounioux
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The contributions appearing in this volume are a snapshot of the different topics that were discussed during the conference. They mainly concern, image reconstruction, texture extraction and image classificationand involve avariety of differentmethod s and applications. Therefore it was impossible to split the papers into generic groups which is why they are presented in alphabetic order. However they mainly concern : texture analysis (5 papers) withdifferent techniques (variational analysis, wavelet and morphological component analysis, fractional Brownian fields), geometrical methods (2 papers ) for restoration and invariant feature detection, classification (with multifractalanalysis), neurosciences imaging and analysis of Multi-Valued Images
Note:Springer eBooks
Contents:Function spaces vs. Scaling Functions: Tools for Image Classification. Stphane Jaffard, Patrice Abry and Stphane Roux
A Second Order Model for 3D
texture Extraction. Matine Bergounioux and Minh Phuong Tran
Analysis of Texture Anisotropy Through Extended Fractional Brownian Fields. Hermine Bierm and Frdric J.P. Richard
Image Reconstruction via Hypoelliptic Diffusion on the Bundle of Directions of the Plane. Ugo Boscain, Jean Duplaix, Jean
Paul Gauthier, Francesco Rossi
Projective Invariant Features Detection and the Registration group. Franoise Dibos
Morphological C
ISBN:9783642196041
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Proceedings in Mathematics, 2190-5614 : v5
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer vision , Mathematical optimization
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Call number:SPRINGER-2011-9783642180477:ONLINE Show nearby items on shelf
Title:States of Consciousness [electronic resource] : Experimental Insights into Meditation, Waking, Sleep and Dreams
Author(s): Dean Cvetkovic
Irena Cosic
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:In this accessible overview of current knowledge, an expert team of editors and authors describe experimental approaches to consciousness. These approaches are shedding light on some of the hitherto unknown aspects ofthedistinct states of human consc iousness, including the waking state, different states of sleep and dreaming, meditation and more. The book presents the latest research studies by the contributing authors, whose specialities spanneuroscience, neurology, biomedical engineering, clinical psychology and psychophysiology, psychosocial medicine and anthropology.Overall this anthologyprovides the reader with a clear picture of howdifferent states ofconsciousness can be defined, experimentally measured and analysed.A future byproduct of this k nowledge may beanticipated inthe development of systematic corrective treatments for many disorders and pathological problems ofconsciousness
Note:Springer eBooks
Contents:Preface
Introduction to States of Consciousness
Disorders of Consciousness: Coma, Vegetative State and Minimally Conscious States
2 Codons of Consciousness: Neurological Characteristics of Ordinary and Pathological States of Consciousness
Dream Consciousness and Sleep Physiology
Dream Therapy: Correlation of Dream Contents with Encephalographic and Cardiovascular Activations
The Substrate That Dreams Are Made On: An Evaluation of Current Neurobiological Theories of Dreaming J.L. Dawson, R. Conduit
Sleep Onset Process as an Altered State of Consciousness
Brain Rate as an
ISBN:9783642180477
Series:e-books
Series:SpringerLink (Online service)
Series:The Frontiers Collection, 1612-3018
Series:Physics and Astronomy (Springer-11651)
Keywords: Medicine , Medical laboratories , Neurosciences , Neurology , Biomedical engineering , Anthropology , Psychology, clinical
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Call number:SPRINGER-2010-9783642020919:ONLINE Show nearby items on shelf
Title:Brain-Computer Interfaces [electronic resource] : Revolutionizing Human-Computer Interaction
Author(s): Bernhard Graimann
Gert Pfurtscheller
Brendan Allison
Date:2010
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:A brain-computer interface (BCI) establishes a direct output channel between the human brain and external devices. BCIs infer user intent via direct measures of brain activity and thus enable communication and control withoutmovement. This book, auth ored by experts in the field, provides an accessible introduction to the neurophysiological and signal-processing background required for BCI, presents state-of-the-art non-invasive and invasive approaches,gives an overview of current hardware and softwar e solutions, and reviews the most interesting as well as new, emerging BCI applications. The book is intended not only for students and young researchers, but also for newcomers andother readers from diverse backgrounds keen to learn about this vital scie ntific endeavour
Note:Springer eBooks
Contents:Introduction
Neurophysiological and Neuropsychological Background
Signal Processing
Non
Invasive Approaches
Invasive Approaches
Hardware and Software
Applications
ISBN:9783642020919
Series:e-books
Series:SpringerLink (Online service)
Series:The Frontiers Collection, 1612-3018
Series:Physics and Astronomy (Springer-11651)
Keywords: Medicine , Neurosciences , Neurology , Neurosurgery , Neurobiology , Systems engineering , Biomedical engineering
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Call number:SPRINGER-2010-9783642001895:ONLINE Show nearby items on shelf
Title:On the Construction of Artificial Brains [electronic resource]
Author(s): Ulrich Ramacher
Christoph Malsburg
Date:2010
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
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Note:This book presents a first generation of artificial brains, using vision as sample application. An object recognition system is built, using neurons and synapses as exclusive building elements. The system contains a featurepyramid with 8 orientations and 5 resolution levels for 1000 objects and networks for binding of features into objects. This vision system can recognize objects robustly in the presence of changes in illumination, deformation, distanceand pose (as long as object components remain v isible). The neuro-synaptic network owes its functional power to the introduction of rapidly modifiable dynamic synapses. These give a network greater pattern recognition capabilities thanare achievable with fixed connections. The spatio-temporal correlat ion structure of patterns is captured by a single synaptic differential equation in a universal way. The correlation can appear as synchronous neural firing, whichsignals the presence of a feature in a robust way, or binds features into objects. Although in this book we can present only a first generation artificial brain and believe many more generations will have to follow to reach the fullpower of the human brain, we nevertheless see a new era of computation on the horizon. There were times when comput ers, with their precision, reliability and blinding speed, were considered to be as superior to the wet matter of ourbrain as a jet plane is to a sparrow. These times seem to be over, given the fact that digital systems inspired by formal logic and contro lled algorithmically - today's computers - are hitting a complexity crisis. A paradigm change isin the air: from the externally organised to the self-organised computer, of which the results described in this book may give an inkling
Note:Springer eBooks
Contents:The Difficulty of Modelling Artificial Brains
Information Processing In Nets with Constant Synapses
Theory of Nets with Constant or Dynamic Synapses
Macro
Dynamics of Nets with Constant Synapses
Information Processing with Dynamic Synapses
Nets for Feature Detection
Nets for Feature Recognition
Nets for Robust Head Detection
Extensions of The Vision Architecture
Look
Out
Preliminary Considerations on The Microelectronic Implementation
Elementary Circuits for Neurons, Synapses, and Photosensors
Simulation of Microelectronic Neural Circuits and Systems
Arch
ISBN:9783642001895
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Neurosciences , Artificial intelligence , Vibration , Electronics
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Call number:SPRINGER-2010-9780387886305:ONLINE Show nearby items on shelf
Title:Computational Neuroscience [electronic resource]
Author(s): Wanpracha Chaovalitwongse
Panos M Pardalos
Petros Xanthopoulos
Date:2010
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
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Note:The human brain is among the most complex systems known to mankind. Neuroscientists seek to understand brain function through detailed analysis of neuronal excitability and synaptic transmission. Only in the last few years has itbecome feasible to ca pture simultaneous responses from a large enough number of neurons to empirically test the theories of human brain function computationally. This book is comprised of state-of-the-art experiments and computationaltechniques that provide new insights and i mprove our understanding of the human brain. This volume includes contributions from diverse disciplines including electrical engineering, biomedical engineering, industrial engineering, andmedicine, bridging a vital gap between the mathematical sciences and neuroscience research. Covering a wide range of research topics, this volume demonstrates how various methods from data mining, signal processing, optimization andcutting-edge medical techniques can be used to tackle the most challenging problems in m odern neuroscience. The results presented in this book are of great interest and value to scientists, graduate students, researchers and medicalpractitioners interested in the most recent developments in computational neuroscience
Note:Springer eBooks
ISBN:9780387886305
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v38
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Neurosciences , Computer science Mathematics , Biomedical engineering
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Call number:SPRINGER-2010-9780387877082:ONLINE Show nearby items on shelf
Title:Mathematical Foundations of Neuroscience [electronic resource]
Author(s): G. Bard Ermentrout
David H Terman
Date:2010
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
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Note:This book applies methods from nonlinear dynamics to problems in neuroscience. It uses modern mathematical approaches to understand patterns of neuronal activity seen in experiments and models of neuronal behavior. The intendedaudience is researchers interested in applying mathematics to important problems in neuroscience, and neuroscientists who would like to understand how to create models, as well as the mathematical and computational methods foranalyzing them. The authors take a very broad approa ch and use many different methods to solve and understand complex models of neurons and circuits. They explain and combine numerical, analytical, dynamical systems and perturbationmethods to produce a modern approach to the types of model equations that a rise in neuroscience. There are extensive chapters on the role of noise, multiple time scales and spatial interactions in generating complex activity patternsfound in experiments. The early chapters require little more than basic calculus and some element ary differential equations and can form the core of a computational neuroscience course. Later chapters can be used as a basis for agraduate class and as a source for current research in mathematical neuroscience. The book contains a large number of illus trations, chapter summaries and hundreds of exercises which are motivated by issues that arise in biology, andinvolve both computation and analysis. Bard Ermentrout is Professor of Computational Biology and Professor of Mathematics at the University of Pi ttsburgh. David Terman is Professor of Mathematics at the Ohio State University
Note:Springer eBooks
Contents:The Hodgkin
Huxley equations
Dendrites
Dynamics
Voltage
gated channels
Action potentials
Synaptic channels
Noise
Networks
Neuro oscillators
Firing rate models
Spatially distributed networks
ISBN:9780387877082
Series:e-books
Series:SpringerLink (Online service)
Series:Interdisciplinary Applied Mathematics, 0939-6047 : v35
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Neurosciences , Neurobiology
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Call number:SPRINGER-2009-9783642032059:ONLINE Show nearby items on shelf
Title:Downward Causation and the Neurobiology of Free Will [electronic resource]
Author(s): Nancey Murphy
George F. R Ellis
Timothy OConnor
Date:2009
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
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Note:How is free will possible in the light of the physical and chemical underpinnings of brain activity and recent neurobiological experiments? How can the emergence of complexity in hierarchical systems such as the brain, based atthe lower levels in phy sical interactions, lead to something like genuine free will? The nature of our understanding of free will in the light of present-day neuroscience is becoming increasingly important because of remarkablediscoveries on the topic being made by neuroscienti sts at the present time, on the one hand, and its crucial importance for the way we view ourselves as human beings, on the other. A key tool in understanding how free will may arise inthis context is the idea of downward causation in complex systems, happ ening coterminously with bottom up causation, to form an integral whole. Top-down causation is usually neglected, and is therefore emphasized in the other part ofthe books title. The concept is explored in depth, as are the ethical and legal implications of our understanding of free will. This book arises out of a workshop held in California in April of 2007, which was chaired by Dr.Christof Koch. It was unusual in terms of the breadth of people involved: they included physicists, neuroscientists, psychia trists, philosophers, and theologians. This enabled the meeting, and hence the resulting book, to attain arather broader perspective on the issue than is often attained at academic symposia. The book includes contributions by Sarah-Jayne Blakemore, George F. R. Ellis , Christopher D. Frith, Mark Hallett, David Hodgson, Owen D. Jones,Alicia Juarrero, J. A. Scott Kelso, Christof Koch, Hans Kng, Hakwan C. Lau, Dean Mobbs, Nancey Murphy, William Newsome, Timothy OConnor, Sean A.. Spence, and Evan Thompson
Note:Springer eBooks
Contents:and Overview
and Overview
I: Physics, Emergence, and Complex Systems
Free Will, Physics, Biology, and the Brain
Human Freedom Emergence
Top
Down Causation and the Human Brain
Top
Down Causation and Autonomy in Complex Systems
Toward a Complementary Neuroscience: Metastable Coordination Dynamics of the Brain
II: Volition and Consciousness: Are They Illusions?
Physiology of Volition
How We Recognize Our Own Actions
Volition and the Function of Consciousness
III: Broader Understandings of Volition and Consciousness
Conscious Willing and the Emerging Sc
ISBN:9783642032059
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Neurosciences , Differentiable dynamical systems , Public health laws , Vibration
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Call number:SPRINGER-2008-9783540776574:ONLINE Show nearby items on shelf
Title:Organic Computing [electronic resource]
Author(s): Rolf P Wrtz
Date:2008
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
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Note:Organic Computing is a research field emerging around the conviction that problems of organization in complex systems in computer science, telecommunications, neurobiology, molecular biology, ethology, and possibly even sociologycan be tackled scient ifically in a unified way. From the computer science point of view, the apparent ease in which living systems solve computationally difficult problems makes it inevitable to adopt strategies observed in nature forcreating information processing machinery. In this book, the major ideas behind Organic Computing are delineated, together with a sparse sample of computational projects undertaken in this new field. Biological metaphors includeevolution, neural networks, gene-regulatory networks, networks of bra in modules, hormone system, insect swarms, and ant colonies. Applications are as diverse as system design, optimization, artificial growth, task allocation,clustering, routing, face recognition, and sign language understanding
Note:Springer eBooks
Contents:Introduction: Organic Computing
The Organic Future of Information Technology
Systems Engineering for Organic Computing: The Challenge of Shared Design and Control between OC Systems and their Human Engineers
Controlled Emergence and Self
Organization
Organic Computing and Complex Dynamical Systems Conceptual Foundations and Interdisciplinary Perspectives
Evolutionary Design of Emergent Behavior
Genesis of Organic Computing Systems: Coupling Evolution and Learning
Organically Grown Architectures: Creating Decentralized, Autonomous Systems by Embryomorphic Engineering
ISBN:9783540776574
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Neurosciences , Artificial intelligence , Differentiable dynamical systems , Engineering mathematics , Vibration
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Call number:SPRINGER-2008-9783540752387:ONLINE Show nearby items on shelf
Title:Brain Dynamics [electronic resource] : An Introduction to Models and Simualtions
Author(s): Hermann Haken
Date:2008
Edition:2
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Brain Dynamics serves to introduce graduate students and nonspecialists from various backgrounds to the field of mathematical and computational neurosciences. Some of the advanced chapters will also be of interest to thespecialists. The book approach es the subject through pulse-coupled neural networks, with at their core the lighthouse and integrate-and-fire models, which allow for the highly flexible modelling of realistic synaptic activity,synchronization and spatio-temporal pattern formation. Topi cs also include pulse-averaged equations and their application to movement coordination. The book closes with a short analysis of models versus the real neurophysiologicalsystem. The second edition has been thoroughly updated and augmented by two extensiv e chapters that discuss the interplay between pattern recognition and synchronization. Further, to enhance the usefulness as textbook and forself-study, the detailed solutions for all 34 exercises throughout the text have been added
Note:Springer eBooks
Contents:Basic Experimental Facts and Theoretical Tools
The Neuron Building Block of the Brain
Neuronal Cooperativity
Spikes, Phases, Noise: How to Describe Them Mathematically? We Learn a Few Tricks and Some Important Concepts
Spiking in Neural Nets
The Lighthouse Model. Two Coupled Neurons
The Lighthouse Model. Many Coupled Neurons
Integrate and Fire Models (IFM)
Many Neurons, General Case, Connection with Integrate and Fire Model
Pattern Recognition Versus Synchronization: Pattern Recognition
Pattern Recognition Versus Synchronization: Synchronization and Phase Lock
ISBN:9783540752387
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Synergetics, 0172-7389
Series:Physics and Astronomy (Springer-11651)
Keywords: Neurosciences , Artificial intelligence , Mathematics , Biomedical engineering , Engineering
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Call number:SPRINGER-2008-9783540731597:ONLINE Show nearby items on shelf
Title:Lectures in Supercomputational Neurosciences [electronic resource] : Dynamics in Complex Brain Networks
Author(s): Peter beim Graben
Changsong Zhou
Marco Thiel
Jrgen Kurths
Date:2008
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
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Note:Computational Neuroscience is a burgeoning field of research where only the combined effort of neuroscientists, biologists, psychologists, physicists, mathematicians, computer scientists, engineers and other specialists, e.g.from linguistics and medi cine, seem to be able to expand the limits of our knowledge. The present volume is an introduction, largely from the physicists' perspective, to the subject matter with in-depth contributions by systemneuroscientists. A conceptual model for complex networ ks of neurons is introduced that incorporates many important features of the real brain, such as various types of neurons, various brain areas, inhibitory and excitatory couplingand the plasticity of the network. The computational implementation on superc omputers, which is introduced and discussed in detail in this book, will enable the readers to modify and adapt the algortihm for their own research.Worked-out examples of applications are presented for networks of Morris-Lecar neurons to model the cortic al connections of a cat's brain, supported with data from experimental studies. This book is particularly suited for graduatestudents and nonspecialists from related fields with a general science background, looking for a substantial but hands-on introduc tion to the subject matter
Note:Springer eBooks
Contents:Neurophysiology
Foundations of Neurophysics
Synapses and Neurons: Basic Properties and Their Use in Recognizing Environmental Signals
Complex Networks
Structural Characterization of Networks Using the Cat Cortex as an Example
Organization and Function of Complex Cortical Networks
Synchronization Dynamics in Complex Networks
Synchronization Analysis of Neuronal Networks by Means of Recurrence Plots
Cognition and Higher Perception
Neural and Cognitive Modeling with Networks of Leaky Integrator Units
A Dynamic Model of the Macrocolumn
Implementations
Building a
ISBN:9783540731597
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Neurosciences , Artificial intelligence , Biomedical engineering , Engineering
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Call number:SPRINGER-2008-9780387781914:ONLINE Show nearby items on shelf
Title:The Statistical Analysis of Functional MRI Data [electronic resource]
Author(s): Nicole Lazar
Date:2008
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
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Note:One of the most intriguing questions facing modern science is the inner workings of the human brain. Functional magnetic resonance imaging (fMRI) is a powerful tool used to study the human brain in action. The data produced frommapping the active pro cesses within the brain present many challenges to statisticians, computer scientists, engineers and other data analysts, due to their complex structure and the ever-increasing sophistication of the scientificquestions being posed by researchers. This boo k represents the first in-depth discussion of statistical methodology, which it couples with an introduction to the scientific background needed to understand the data. Starting from thebasic science - where fMRI data come from, why they are so complicate d, and the role statistics can play in designing and interpreting experiments - the book gives a detailed survey of the numerous methods that have been applied in thelast fifteen years. The analysis of fMRI data features many of the major issues of concer n in modern statistics, such as high dimensionality, multiple testing, and visualization. The array of techniques examined in the book ranges fromthe simple two-sample t-test and the general linear model to hierarchical spatiotemporal models, multivariate methods such as principal components analysis, and Bayesian approaches as they have been used in fMRI. Software, includingdescriptions of the most popular freeware packages and their capabilities, is also discussed. This book offers researchers who are i nterested in the analysis of fMRI data a detailed discussion from a statistical perspective that coversthe entire process from data collection to the graphical presentation of results. The book is a valuable resource for statisticians who want to learn mo re about this growing field, and for neuroscientists who want to learn more abouthow their data can be analyzed. Nicole A. Lazar is Professor of Statistics at the University of Georgia and affiliated fa
Note:Springer eBooks
Contents:The science of fMRI
Design of fMRI experiments
Noise and data preprocessing
Statistical issuesin fMRI data analysis
Basic statistical analysis
Temporal, spatial, and spatiotemporal models
Multivariate approaches
Basis function approaches
Bayesian methods in fMRI
Multiple testing in fMRI: the problem of thresholding
Additional statistical issues
Case study: eye motion data
Survey of major fMRI software packages
Glossary of fMRI terms
References
Index
ISBN:9780387781914
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Neurosciences , Bioinformatics , Psychological tests and testing
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Call number:SPRINGER-2007-9783540715122:ONLINE Show nearby items on shelf
Title:Handbook of Brain Connectivity [electronic resource]
Author(s): Viktor K Jirsa
AR McIntosh
Date:2007
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
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Note:Our contemporary understanding of brain function is deeply rooted in the ideas of the nonlinear dynamics of distributed networks. Cognition and motor coordination seem to arise from the interactions of local neuronal networks,which themselves are con nected in large scales across the entire brain. The spatial architectures between various scales inevitably influence the dynamics of the brain and thereby its function. But how can we integrate brainconnectivity amongst these structural and functional do mains? Our Handbook provides an account of the current knowledge on the measurement, analysis and theory of the anatomical and functional connectivity of the brain. Allcontributors are leading experts in various fields concerning structural and functional brain connectivity. In the first part of the Handbook, the chapters focus on an introduction and discussion of the principles underlying connectedneural systems. The second part introduces the currently available non-invasive technologies for measuring s tructural and functional connectivity in the brain. Part three provides an overview of the analysis techniques currentlyavailable and highlights new developments. Part four introduces the application and translation of the concepts of brain connectivity t o behavior, cognition and the clinical domain
Note:Springer eBooks
Contents:Part 1 Principles underlying structural and functional brain connectivity
Part 2 Technology of structural and functional brain imaging
Part 3 Analysis and measures of brain connectivity
Part 4 Behavioral, developmental and clinical applications
ISBN:9783540715122
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Engineering , Neurosciences , Differentiable dynamical systems , Biomedical engineering , Engineering mathematics , Vibration
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Call number:SPRINGER-2007-9783540712695:ONLINE Show nearby items on shelf
Title:Synchronization in Oscillatory Networks [electronic resource]
Author(s): Grigory V Osipov
Jrgen Kurths
Changsong Zhou
Date:2007
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The formation of collective behavior in large ensembles or networks of coupled oscillatory elements is one of the oldest and most fundamental aspects of dynamical systems theory. Potential and present applications span a vastspectrum of fields rangin g from physics, chemistry, geoscience, through life- and neurosciences to engineering, the economic and the social sciences. This work systematically investigates a large number of oscillatory networkconfigurations that are able to describe many real syst ems such as electric power grids, lasers or the heart muscle - to name but a few. This book is conceived as an introduction to the field for graduate students in physics andapplied mathematics as well as being a compendium for researchers from any field o f application interested in quantitative models
Note:Springer eBooks
Contents:Introduction
Basic Models
Synchronization Due to External Periodic Forcing
Synchronization of Two Coupled Systems
Synchronization in Ensembles of Phase Oscillators
Synchronization in Chains of Coupled Limit
Cycle Oscillators
Phase Synchronization in Ensembles of Chaotic OscillatorsWith a Period
Doubling Route to Chaos. Rssler Oscillators
Synchronization of Intermittent
Like Oscillations in Chains of Coupled Maps
Regular and Chaotic Phase Synchronisation of Coupled Circle Maps
Controlling Phase Synchronization in Oscillatory Networks
Synchronization Structures in
ISBN:9783540712695
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Synergetics, 0172-7389
Series:Physics and Astronomy (Springer-11651)
Keywords: Differentiable dynamical systems , Mathematics , Telecommunication , Biomedical engineering
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Call number:SPRINGER-2007-9780387689197:ONLINE Show nearby items on shelf
Title:Biological Membrane Ion Channels [electronic resource] : Dynamics, Structure, and Applications
Author(s): Shin-Ho Chung
Olaf S Andersen
Vikram Krishnamurthy
Date:2007
Publisher:New York, NY : Springer New York
Size:1 online resource
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Note:Ion channels are biological nanotubes that are formed by membrane proteins. Because ion channels regulate all electrical activities in living cells, understanding their mechanisms at a molecular level is a fundamental problem inbiology. This book dea ls with recent breakthroughs in ion-channel research that have been brought about by the combined effort of experimental biophysicists and computational physicists, who together are beginning to unravel the storyof these exquisitely designed biomolecules. With chapters by leading experts, the book is aimed at researchers in nanodevices and biosensors, as well as advanced undergraduate and graduate students in biology and the physical sciences.Key Features Presents the latest information on the molecular m echanisms of ion permeation through membrane ion channels Uses schematic diagrams to illustrate important concepts in biophysics Written by leading researchers in the areaof ion channel investigations
Note:Springer eBooks
Contents:Ion Channels, from Fantasy to Fact in Fifty Years1
Specific Channel Types
Gramicidin Channels: Versatile Tools
Voltage
Gated Ion Channels
Voltage
Gated Potassium Channels
BKCa
Channel Structure and Function
Voltage
Gated Sodium Channels
Calcium Channels
Chloride Transporting CLC Proteins1
Ligand
Gated Ion Channels: Permeation and Activation1
Mechanosensitive Channels
TRP Channels
Ion Channels in Epithelial Cells
Theoretical Approaches
PoissonNernstPlanck Theory of Ion Permeation Through Biological Channels
A MesoscopicMicroscopic Perspectiv
ISBN:9780387689197
Series:e-books
Series:SpringerLink (Online service)
Series:Biological And Medical Physics Biomedical Engineering, 1618-7210
Series:Physics and Astronomy (Springer-11651)
Keywords: Neurosciences , Biotechnology , Biochemistry , Neurobiology , Biomedical engineering
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Call number:SPRINGER-2006-9783540367239:ONLINE Show nearby items on shelf
Title:The Emerging Physics of Consciousness [electronic resource]
Author(s): Jack A Tuszynski
Date:2006
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Consciousness remains one of the major unsolved problems in science. How do the feelings and sensations making up conscious experience arise from the concerted actions of nerve cells and their associated synaptic and molecularprocesses? Can such feel ings be explained by modern science, or is there an entirely different kind of explanation needed? And how can this seemingly intractable problem be approached experimentally? How do the operations of theconscious mind emerge out of the specific interacti ons involving billions of neurons? This book seeks answers to these questions on the underlying assumption that consciousness can be understood using the intellectual potential ofmodern physics and other sciences. There are a number of theories of conscio usness, some based on classical physics while others require the use of quantum concepts. The latter ones have drawn criticism from the parts of the scientificestablishment while simultaneously claiming that classical approaches are doomed to failure. The contributing authors present a spectrum of opinions from both sides of this on-going scientific debate, allowing readers to decide forthemselves which of the approaches are most likely to succeed
Note:Springer eBooks
Contents:The Path Ahead
Consciousness and Quantum Physics: Empirical Research on the Subjective Reduction of the Statevector
Microtubules in the Cerebral Cortex: Role in Memory and Consciousness
Towards Experimental Tests of Quantum Effects in Cytoskeletal Proteins
Physicalism, Chaos and Reductionism
Consciousness, Neurobiology and Quantum Mechanics: The Case for a Connection
Life, Catalysis and Excitable Media: A Dynamic Systems Approach to Metabolism and Cognition
The Dendritic Cytoskeleton as a Computational Device: An Hypothesis
Recurrent Quantum Neural Network and its Appli
ISBN:9783540367239
Series:e-books
Series:SpringerLink (Online service)
Series:The Frontiers Collection, 1612-3018
Series:Physics and Astronomy (Springer-11651)
Keywords: Neurosciences , Neurobiology , Quantum theory
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Call number:SPRINGER-2006-9783540330233:ONLINE Show nearby items on shelf
Title:Information and Self-Organization [electronic resource] : A Macroscopic Approach to Complex Systems
Author(s): Hermann Haken
Date:2006
Edition:Third Enlarged Edition
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
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Note:This book presents the concepts needed to deal with self-organizing complex systems from a unifying point of view that uses macroscopic data. The various meanings of the concept information are discussed and a generalformulation of the maximum inform ation (entropy) principle is used. With the aid of results from synergetics, adequate objective constraints for a large class of self-organizing systems are formulated and examples are given fromphysics, life and computer science. The relationship to chao s theory is examined and it is further shown that, based on possibly scarce and noisy data, unbiased guesses about processes of complex systems can be made and the underlyingdeterministic and random forces determined. This allows for probabilistic predict ions of processes, with applications to numerous fields in science, technology, medicine and economics. The extensions of the third edition areessentially devoted to an introduction to the meaning of information in the quantum context. Indeed, quantum inf ormation science and technology is presently one of the most active fields of research at the interface of physics,technology and information sciences and has already established itself as one of the major future technologies for processing and communicat ing information on any scale. This book addresses graduate students and nonspecialistresearchers wishing to get acquainted with the concept of information from a scientific perspective in more depth. It is suitable as a textbook for advanced courses or fo r self-study
Note:Springer eBooks
Contents:The Challenge of Complex Systems
From the Microscopic to the Macroscopic World ..
... and back again: The Maximum Information Principle (MIP)
An Example from Physics: Thermodynamics
Application of the Maximum Information Principle to Self
Organizing Systems
The Maximum Information Principle for Nonequilibrium Phase Transitions: Determination of Order Parameters, Enslaved Modes, and Emerging Patterns
Information, Information Gain, and Efficiency of Self
Organizing Systems close to Their Instability Points
Direct Determination of Lagrange Multipliers
Unbiased Modeling o
ISBN:9783540330233
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Synergetics, 0172-7389
Series:Physics and Astronomy (Springer-11651)
Keywords: Neurosciences , Data structures (Computer science) , Quantum computing , Biomedical engineering , Engineering
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Call number:SPRINGER-2006-9780387277820:ONLINE Show nearby items on shelf
Title:Statistical Monitoring of Clinical Trials [electronic resource] : Fundamentals for Investigators
Author(s): Lemuel A Moy
Date:2006
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Statistical Monitoring of Clinical Trials: Fundamentals for Investigators introduces the investigator and statistician to monitoring procedures in clinical research. Clearly presenting the necessary background with limited use ofmathematics, this boo k increases the knowledge, experience, and intuition of investigations in the use of these important procedures now required by the many clinical research efforts. The author provides motivated clinicalinvestigators the background, correct use, and interp retation of these monitoring procedures at an elementary statistical level. He defines terms commonly used such as group sequential procedures and stochastic curtailment innon-mathematical language and discusses the commonly used procedures of Pocock, OBr ienFleming, and LanDeMets. He discusses the notions of conditional power, monitoring for safety and futility, and monitoring multiple endpointsin the study. The use of monitoring clinical trials is introduced in the context of the evolution of clinical re search and one chapter is devoted to the more recent Bayesian procedures. Dr. Lemuel A. Moy, M.D., Ph.D. is a physicianand a biostatistician at the University of Texas School of Public Health. He is a diplomat of the National Board of Medical Examiners an d is currently Professor of Biostatistics at the University of Texas School of Public Health inHouston where he holds a full time faculty position. Dr. Moy has carried out cardiovascular research for twenty years and continues to be involved in the design , execution and analysis of clinical trials, both reporting to andserving on many Data Monitoring Committees. He has served in several clinical trials sponsored by both the U.S. government and private industry. In addition, Dr. Moy has served as statistic ian/epidemiologist for six years on both theCardiovascular and Renal Drug Advisory Committee to the Food and Drug Administration and the Pharmacy Sciences Advisory Committee to the FDA. H
Note:Springer eBooks
Contents:Here, there be dragons
The basis of statistical reasoning in medicine
Probability tools and stopping rules
Issues and intuitions in path analysis
Group sequential analysis procedures
Looking forward: conditional power
Safety and futility
Bayesian statistical monitoring
ISBN:9780387277820
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Neurosciences , Epidemiology
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Call number:SPRINGER-2006-9780387254449:ONLINE Show nearby items on shelf
Title:Quantitative Analysis in Nuclear Medicine Imaging [electronic resource]
Author(s): Habib Zaidi
Date:2006
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book provides a review of image analysis techniques as they are applied in the field of diagnostic and therapeutic nuclear medicine. Driven in part by the remarkable increase in computing power and its ready and inexpensiveavailability, this is a relatively new yet rapidly expanding field. Likewise, although the use of radionuclides for diagnosis and therapy has origins dating back almost to the discovery of natural radioactivity itself, radionuclidetherapy and, in particular, targeted radionucl ide therapy has only recently emerged as a promising approach for therapy of cancer and, to a lesser extent, other diseases. As effort has, therefore, been made to place the reviewsprovided in this book in a broader context. The effort to do this is refle cted by the inclusion of introductory chapters that address basic principles of nuclear medicine imaging, followed by overview of issues that are closely relatedto quantitative nuclear imaging and its potential role in diagnostic and therapeutic applicati ons. The different chapters discuss the basic principles and various steps required for obtaining quantitatively accurate data from nuclearmedicine images including data collection methods and algorithms used to correct them for physical degrading factors (e.g. collimator response, attenuation, scatter, partial volume effect), and image reconstruction algorithms(analytic, iterative) as well as image processing and analysis techniques as their clinical and research applications in neurology, cardiology and oncology. Some algorithms are described and illustrated with some useful features andclinical applications. Other potential applications of quantitative image analysis such as image-guided radiation therapy are also discussed
Note:Springer eBooks
Contents:Preface
Overview of nuclear medical imaging: physics and instrumentation
Dual
modality imaging: more than the sum of its parts
Analytic image reconstruction methods
Iterative image reconstruction methods
Collimator
detector response compensation in SPECT
Attenuation correction strategies in emission tomography
Scatter correction strategies in emission tomography
Correction of partial volume effects in emission tomography
Image registration techniques in nuclear medicine imaging
Image segmentation techniques in nuclear medicine imaging
Monte Carlo modeling in nucl
ISBN:9780387254449
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Neurosciences , Toxicology , Cardiology , Oncology , Biomedical engineering
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Call number:SPRINGER-2003-9789401702614:ONLINE Show nearby items on shelf
Title:Cellular Neural Networks: Dynamics and Modelling
Author(s): Angela Slavova
Date:2003
Size:1 online resource (220 p.)
Note:10.1007/978-94-017-0261-4
Contents:Preface -- 1: Basic theory about CNNs -- 1.1. Introduction to the CNN paradigm -- 1.2. Main types of CNN equations -- 1.3. Theorems and results on CNN stability -- 1.4. Examples -- 2: Dynamics of nonlinear and delay CNNs -- 2.1.
Nonlinear CNNs -- 2.2. CNN with delay -- 2.3. Examples. 3: Hysteresis and chaos in CNNs -- 3.1. CNNs with hystersis in the feedback system -- 3.2. Nonlinear CNNs with hysteresis in the output dynamics -- 3.3. Feedback and hysteresis --
3.4. Control of chaotic CNNs -- 4: CNN modelling in biology, physics and ecology -- 4.1. Modelling PDEs via CNNs -- 4.2. CNN model of Sine-Gordon equation -- 4.3. CNN model of FitzHugh-Nagumo equation -- 4.4. CNN model of Fisher's
equation -- 4.5. CNN model of Brusselator equation -- 4.6. CNN model of Toda Lattice equation -- 4.7. Lotka-Volterra equation and its CNN model -- 5: Appendix A: Topological degree method -- 6: Appendix B: Hysteresis and its models --
7: Appendix C: Describing function method and its application for analysis of Cellular Neural Networks -- References -- Index
ISBN:9789401702614
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Mathematical Modelling: Theory and Applications: 16
Keywords: Physics , Neurosciences , Differential equations , Partial differential equations , Mathematical models , Statistical physics , Dynamical systems , Physics , Statistical Physics, Dynamical Systems and Complexity , Mathematical Modeling and Industrial Mathematics , Ordinary Differential Equations , Partial Differential Equations , Neurosciences
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Call number:SPRINGER-2003-9783662050484:ONLINE Show nearby items on shelf
Title:Epilepsy as a Dynamic Disease
Author(s):
Date:2003
Size:1 online resource (417 p.)
Note:10.1007/978-3-662-05048-4
Contents:1 Medically Intractable Epilepsy -- 2 Insights into Seizure Propagation from Axonal Conduction Times -- 3 Dynamic Epileptic Systems Versus Static Epileptic Foci? -- 4 Neuroglia, the Other Brain Cells -- 5 The Electroencephalogram
(EEG): A Measure of Neural Synchrony -- 6 Electrocorticographic Coherence Patterns of Epileptic Seizures -- 7 Synchronization of Synaptically-Coupled Neural Oscillators -- 8 Controling Neural Synchrony with Periodic and Aperiodic
Stimuli -- 9 Modeling Pattern Formation in Excitable Media: The Legacy of Norbert Wiener -- 10 Are Cardiac Waves Relevant to Epileptic Wave Propagation? -- 11 Pattern Formation in the Microbial World: Dictyostelium Discoideum -- 12
Predicting Epileptic Seizures -- 13 Comparison of Methods for Seizure Detection -- 14 Direct Deep Brain Stimulation: First Steps Towards the Feedback Control of Seizures -- 15 Seizure Control Using Feedback and Electric Fields -- 16
Aborting Seizures with a Single Stimulus: The Case for Multistability -- 17 Unstable Periodic Orbits (UPOs) and Chaos Control in Neural Systems -- 18 Prospects for Building a Therapeutic Cortical Stimulator -- 19 Brain Defibrillators:
Synopsis, Problems and Future Directions -- Color Plates -- References
ISBN:9783662050484
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Neurosciences , Neurology , Biomathematics , Solid state physics , Biophysics , Biological physics , Spectroscopy , Microscopy , Physics , Biophysics and Biological Physics , Neurology , Physiological, Cellular and Medical Topics , Neurosciences , Solid State Physics , Spectroscopy and Microscopy
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Call number:SPRINGER-2003-9783540448327:ONLINE Show nearby items on shelf
Title:Processes with Long-Range Correlations Theory and Applications
Author(s):
Date:2003
Size:1 online resource (398 p.)
Note:10.1007/3-540-44832-2
Contents:Theory -- Prediction of Long-Memory Time Series: A Tutorial Review -- Fractional Brownian Motion and Fractional Gaussian Noise -- Scaling and Wavelets: An Introductory Walk -- Wavelet Estimation for the Hurst Parameter in Stable
Processes -- From Stationarity to Self-similarity, and Back: Variations on the Lamperti Transformation -- Fractal Sums of Pulses and a Practical Challenge to the Distinction Between Local and Global Dependence -- Applications --
Supra-diffusion -- Fractional diffusion Processes: Probability Distributions and Continuous Time Random Walk -- First Passage Distributions for Long Memory Processes -- Non-Gaussian Statistics and Anomalous diffusion in Porous Media --
Directed Transport in AC-Driven Hamiltonian Systems -- Patterns and Correlations in Economic Phenomena Uncovered Using Concepts of Statistical Physics -- Semiparametric Modeling of Stochastic and Deterministic Trends and Fractional
Stationarity -- Interaction Models for Common Long-Range Dependence in Asset Prices Volatility -- Long Memory and Economic Growth in the World Economy Since the 19th Century -- Correlations and Memory in Neurodynamical Systems -- Long
Range Dependence in Human Sensorimotor Coordination -- Scaling and Criticality in Large-Scale Neuronal Activity -- Long-Range Dependence in Heartbeat Dynamics -- Multifractals: From Modeling to Control of Broadband Network Traffic
ISBN:9783540448327
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Physics: 621
Keywords: Medicine , Neurosciences , Neurobiology , Statistical physics , Dynamical systems , Economic theory , Biomedicine , Neurosciences , Neurobiology , Statistical Physics, Dynamical Systems and Complexity , Economic Theory/Quantitative Economics/Mathematical Methods
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Call number:SPRINGER-2003-9780387216409:ONLINE Show nearby items on shelf
Title:Nonlinear Dynamics in Physiology and Medicine
Author(s):
Date:2003
Size:1 online resource (436 p.)
Note:10.1007/978-0-387-21640-9
Contents:1 Theoretical Approaches in Physiology -- 2 Introduction to Dynamics in Nonlinear Difference and Differential Equations -- 3 Bifurcations Involving Fixed Points and Limit Cycles in Biological Systems -- 4 Dynamics of Excitable Cells
-- 5 Resetting and Entraining Biological Rhythms -- 6 Effects of Noise on Nonlinear Dynamics -- 7 Reentry in Excitable Media -- 8 Cell Replication and Control -- 9 Pupil Light Reflex: Delays and Oscillations -- 10 Data Analysis and
Mathematical Modeling of Human Tremor -- A An Introduction to XPP -- Michael C. Mackey -- A.1 ODE Files -- A.2 Starting and Quitting XPP -- A.3 Time Series -- A.4 Numerics -- A.5 Graphic Tricks -- A.5.1 Axis -- A.5.2 Multiplotting --
A.5.3 Erasing -- A.5.4 Printing the Figures -- A.6 Examining the Numbers -- A.7 Changing the Initial Condition -- A.8 Finding the Fixed Points and Their Stability -- A.9 Drawing Nullclines and Direction Field -- A.10 Changing the
Parameters -- A.11 Auto -- A.11.1 Bifurcation Diagram -- A.11.2 Scrolling Through the Points on the Bifurcation Diagram -- A.12 Saving Auto Diagrams -- B An Introduction to Matlab -- Michèle S. Titcombe and Caroline Haurie -- R.1
Starting and Quitting Matlab -- B.2 Vectors and Matrices -- B 2 1 Creating Matrices and Vectors -- .B.3 Suppressing Output to the Screen (the Semicolon!) -- B.4 Operations on Matrices -- B.5 Programs (M-Files) -- B.5.1 Script Files --
B.5.2 Function Files -- B.6 The Help Command -- B.7 Loops -- B.8 Plotting -- B.8.1 Examples -- B.8.2 Clearing Figures and Opening New Figures -- B.8.3 Symbols and Colors for Lines and Points -- B.9 Loading Data -- B.9.1 Examples --
B.10 Saving Your Work -- C Time Series Analysis -- Roderick Edwards and Michèle S. Titcombe -- C.1 The Distribution of Data Points -- C.2 Linear Processes -- C.3 Fourier Analysis
ISBN:9780387216409
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Interdisciplinary Applied Mathematics: 25
Keywords: Mathematics , Neurosciences , Neurobiology , Biomathematics , Biophysics , Biological physics , Mathematics , Mathematical and Computational Biology , Neurosciences , Neurobiology , Biophysics and Biological Physics
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Call number:SPRINGER-2002-9783540462842:ONLINE Show nearby items on shelf
Title:Brain Dynamics Synchronization and Activity Patterns in Pulse-Coupled Neural Nets with Delays and Noise
Author(s): Hermann Haken
Date:2002
Size:1 online resource (249 p.)
Note:10.1007/978-3-540-46284-2
Contents:Basic Experimental Facts and Theoretical Tools -- The Neuron — Building Block of the Brain -- Neuronal Cooperativity -- Spikes, Phases, Noise: How to Describe Them Mathematically? We Learn a Few Tricks and Some Important Concepts --
Spiking in Neural Nets -- The Lighthouse Model. Two Coupled Neurons -- The Lighthouse Model. Many Coupled Neurons -- Integrate and Fire Models (IFM) -- Many Neurons, General Case, Connection with Integrate and Fire Model -- Phase
Locking, Coordination and Spatio-Temporal Patterns -- Phase Locking via Sinusoidal Couplings -- Pulse-Averaged Equations -- Conclusion -- The Single Neuron -- Conclusion and Outlook
ISBN:9783540462842
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Neurosciences , Neurology , Psychiatry , Computer mathematics , Biophysics , Biological physics , Statistical physics , Dynamical systems , Physics , Biophysics and Biological Physics , Neurology , Statistical Physics, Dynamical Systems and Complexity , Computational Mathematics and Numerical Analysis , Neurosciences , Psychiatry
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Call number:SPRINGER-2002-9780387227337:ONLINE Show nearby items on shelf
Title:From Computer to Brain Foundations of Computational Neuroscience
Author(s): William W Lytton
Date:2002
Size:1 online resource (364 p.)
Note:10.1007/b98859
Contents:Perspectives -- Computational Neuroscience and You -- Basic Neuroscience -- Computers -- Computer Representations -- The Soul of an Old Machine -- Cybernetics -- Concept Neurons -- Neural Coding -- Our Friend the Limulus -- Supervised
Learning: Delta Rule and Back-Propagation -- Associative Memory Networks -- Brains -- From Soap to Volts -- Hodgkin-Huxley Model -- Compartment Modeling -- From Artificial Neural Network to Realistic Neural Network -- Neural Circuits
-- The Basics
ISBN:9780387227337
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Neurosciences , Computers , Artificial intelligence , Neurobiology , Applied mathematics , Engineering mathematics , Biomedical engineering , Mathematics , Applications of Mathematics , Neurosciences , Artificial Intelligence (incl. Robotics) , Neurobiology , Biomedical Engineering , Computing Methodologies
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Call number:SPRINGER-2001-9789401006743:ONLINE Show nearby items on shelf
Title:Plausible Neural Networks for Biological Modelling
Author(s):
Date:2001
Size:1 online resource (262 p.)
Note:10.1007/978-94-010-0674-3
Contents:I Fundamentals -- 1 Biological Evidence for Synapse Modification Relevant for Neural Network Modelling -- 2 What is Different with Spiking Neurons? -- 3 Recurrent Neural Networks: Properties and Models -- 4 A Derivation of the
Learning Rules for Dynamic Recurrent Neural Networks -- II Applications to Biology -- 5 Simulation of the Human Oculomotor Integrator Using a Dynamic Recurrent Neural Network -- 6 Pattern Segmentation in an Associative Network of
Spiking Neurons -- 7 Cortical Models for Movement Control -- 8 Implications of Activity Dependent Processes in Spinal Cord Circuits for the Development of Motor Control a Neural Network Model -- 9 Cortical Maps as Topology—Representing
Neural Networks Applied to Motor Control: Articulatory Speech Synthesis -- 10 Line and Edge Detection by Curvature—Adaptive Neural Networks -- 11 Path Planning and Obstacle Avoidance Using a Recurrent Neural Network
ISBN:9789401006743
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Mathematical Modelling: Theory and Applications: 13
Keywords: Computer science , Neurosciences , Computer simulation , Evolutionary biology , System theory , Biomathematics , Statistical physics , Dynamical systems , Computer Science , Simulation and Modeling , Neurosciences , Systems Theory, Control , Statistical Physics, Dynamical Systems and Complexity , Mathematical and Computational Biology , Evolutionary Biology
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Call number:SPRINGER-1999-9783642598937:ONLINE Show nearby items on shelf
Title:Brain Function and Oscillations Integrative Brain Function. Neurophysiology and Cognitive Processes
Author(s): Erol Başar
Date:1999
Size:1 online resource (476 p.)
Note:10.1007/978-3-642-59893-7
Contents:I. Dynamics of Electrical Signals in the Animal Brain -- 1. Dynamics of Potentials in the Visual and Auditory Pathway, Hippocampus, and Reticular Formation of the Cat Brain -- 2. Cross-Modality Experiments on the Cat Brain -- 3.
Selectively Distributed Gamma-Band Responses Studied in Cortex, Reticular Formation, Hippocampus, and Cerebellum -- 4. Highest Frequency Range in Reticular Formation and Inferior Colliculus (100–1000 Hz) -- 5. The Brain of the Sleeping
Cat: Dynamics of Electrical Signals -- 6. Dynamics of Potentials from Invertebrate Brains -- 7. Dynamics of Potentials from the Brain of Anamniotes (Vertebrates) -- 8. Frequency Response of the Cat Brain Is Influenced by
Pharmacological Agents -- II. The Human Brain: Dynamics of EEG, Evoked Potentials, and MEG -- 9. Evoked Alpha and Theta Responses in Humans to Auditory and Visual Stimuli -- 10. “Cross-Modality” Experiments in Humans -- 11. The
Bisensory Evoked Theta Response - A Correlate of Supramodal Association? -- 12. Evoked Delta Oscillations on the Hearing Threshold -- 13. Evoked Oscillations in Magnetoencephalography -- III. Cognitive Processes -- 14. Selective
Attention and Memory: Neurophysiology and Cognitive Psychology -- 15. Memory Templates in Event-Related Oscillations, P300, MMN -- 16. Dynamics of Compound Potentials (P300) in Freely Moving Cats -- 17. The Compound P300–40Hz Response
of the Cat Hippocampus -- 18. Event-Related Potentials During States of High Expectancy: Results on the Cat Hippocampus, Cortex, and Reticular Formation -- 19. Event-Related Potentials During States of High Expectancy and Attention in
Human Subjects -- 20. Topological Distribution of Oddball “P300” Responses -- 21. Wavelet Analysis of Oddball P300 -- 22. Dynamic Memory Manifested by Induced Alpha -- 23. Event-Related Oscillations as a Strategy in Cognition Research
-- IV. Integrative Systems in Brain Function -- 24. Functional Alphas Selectively Distributed in the Brain - A Theory -- 25. Theta Rhythms in Integrative Brain Function -- 26. Gamma-Band Responses in the Brain: Functional Significance
-- 27. Structures, Brain Waves, and Their Functions -- 28. Brain Functioning: Integrative Models -- 29. EEG and Event-Related Oscillations as Brain Alphabet -- 30. Event-Related Oscillations in Brain Function -- V. Conclusion -- 31. An
Integrative Neurophysiology Based on Brain Oscillations -- 32. A “Neurons-Brain” Doctrine: New Thoughts -- 33. Epilogue: EEG Oscillations in Integrative-Cognitive Neurophysiology -- References -- Author Index
ISBN:9783642598937
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Neurosciences , Biophysics , Biological physics , Statistical physics , Dynamical systems , Biomedical engineering , Physics , Biophysics and Biological Physics , Statistical Physics, Dynamical Systems and Complexity , Neurosciences , Biomedical Engineering
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Call number:SPRINGER-1999-9783540381617:ONLINE Show nearby items on shelf
Title:Phase Resetting in Medicine and Biology Stochastic Modelling and Data Analysis
Author(s): Peter A Tass
Date:1999
Size:1 online resource (6 p.)
Note:10.1007/978-3-540-38161-7
Contents:Resetting an Ensemble of Oscillators -- Synchronization Patterns -- Stochastic Model -- Clustering in the Presence of Noise -- Single Pulse Stimulation -- Periodic Stimulation -- Data Analysis -- Modelling Perspectives -- Neurological
Perspectives -- Epilogue
ISBN:9783540381617
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Neurosciences , Neurology , Neurobiology , Biomathematics , Biophysics , Biological physics , Statistical physics , Dynamical systems , Physics , Biophysics and Biological Physics , Statistical Physics, Dynamical Systems and Complexity , Neurosciences , Physiological, Cellular and Medical Topics , Neurobiology , Neurology
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Call number:SPRINGER-1998-9783642721922:ONLINE Show nearby items on shelf
Title:Brain Function and Oscillations Brain Oscillations. Principles and Approaches
Author(s): Erol Başar
Date:1998
Size:1 online resource (363 p.)
Note:10.1007/978-3-642-72192-2
Contents:0. Prologue -- I. Foundations -- 1. Brain Dynamics and Brain Codes -- 2. Electrical Signals from the Brain -- 3. The Brain: Sensory and Cognitive Pathways -- 4. Brain Dynamics Research Program -- 5. Wavelet Analysis of Brain Waves --
6. Phase Locking of Oscillatory Responses: An Informative Approach for Studying Evoked Brain Activity -- 7. Resonance Phenomena in the Brain, Physical Systems, and Nature -- II. Renaissance of the EEG and Oscillations -- 8.
Event-Related Oscillations in the Brain -- 9. Correlation Between Unit Activity and Activity of Neural Populations -- 10. Chaos in Brain Function -- III. Resonance as the Basic Mechanism of Oscillatory Responses -- 11. Brain
Synergetics: Frequency Locking of EEG: Order Out of Chaos -- 12. Major Operating Rhythms (MOR) Control the Shape and Time Course of Evoked Potentials -- 13. Oscillatory Brain Responses: Changes with Development and Aging -- 14. Brain
Response Susceptibility -- 15. The Evoked Potential Manifests a Superposition of Event-Related Oscillations -- 16. Multiple Sclerosis: Break of the Alpha Response -- 17. Brain Feynman Diagrams -- 18. Oscillatory Components of Evoked
Potentials are Real Brain Responses Related to Function -- 19. Conclusion -- References -- Author-Index
ISBN:9783642721922
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Neurosciences , Biophysics , Biological physics , Statistical physics , Dynamical systems , Biomedical engineering , Physics , Biophysics and Biological Physics , Statistical Physics, Dynamical Systems and Complexity , Neurosciences , Biomedical Engineering
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Call number:SPRINGER-1998-9783642719493:ONLINE Show nearby items on shelf
Title:Nonlinear Analysis of Physiological Data
Author(s):
Date:1998
Size:1 online resource (344 p.)
Note:10.1007/978-3-642-71949-3
Contents:I Directions in Nonlinear Data Analysis -- Processing of Physiological Data -- Problems in the Reconstruction of High-dimensional Deterministic Dynamics from Time Series -- Chaotic Measures and Real-World Systems: Does the Lyapunov
Exponent Always Measure Chaos -- Ranking and Entropy Estimation in Nonlinear Time Series Analysis -- Analysing Synchronization Phenomena from Bivariate Data by Means of the Hilbert Transform -- Analyzing Spatio-Temporal Patterns of
Complex Systems -- II Cardio-Respiratory System -- Are R-R-Interval Data Appropriate to Study the Dynamics of the Heart -- New Nonlinear Algorithms for Analysis of Heart Rate Variability: Low-Dimensional Chaos Predicts Lethal
Arrhythmias -- Nonlinear Analysis of the Cardiorespiratory Coordination in a Newborn Piglet -- Cardiorespiratory Synchronization -- III EEG Analysis -- EEG Signal Analysis by Continuous Wavelet Transform Techniques -- Relativity of
Dynamical Measures in Study of the Human Brain: Local Lyapunov Exponent as a Tool for Comparative Studies -- Classification of EEG Signals Prom a Music Perception Experiment Using Empirical Dynamical Models -- IV Perception and Motor
Control -- Nonlinear Analysis of Perceptual-Motor Coupling in the Developement of Postural Control -- Symbolic Dynamics of Bimanual Production of Polyrhythms -- Human Postural Control: Force Plate Experiments and Modelling -- Delay
Induced Patterns of Visually Guided Movements -- V Voice -- Detecting Bifurcations in Voice Signals
ISBN:9783642719493
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Neurosciences , Psychiatry , Software engineering , Biomathematics , Biophysics , Biological physics , Physics , Biophysics and Biological Physics , Software Engineering/Programming and Operating Systems , Neurosciences , Psychiatry , Physiological, Cellular and Medical Topics
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Call number:SPRINGER-1997-9783642979668:ONLINE Show nearby items on shelf
Title:Self-Organizing Maps
Author(s): Teuvo Kohonen
Date:1997
Edition:Second Edition
Size:1 online resource (426 p.)
Note:10.1007/978-3-642-97966-8
Contents:1. Mathematical Preliminaries -- 1.1 Mathematical Concepts and Notations -- 1.2 Distance Measures for Patterns -- 1.3 Statistical Pattern Recognition -- 1.4 The Subspace Methods of Classification -- 1.5 The Robbins-Monro Stochastic
Approximation -- 1.6 Dynamically Expanding Context -- 2. Justification of Neural Modeling -- 2.1 Models, Paradigms, and Methods -- 2.2 On the Complexity of Biological Nervous Systems -- 2.3 Relation Between Biological and Artificial
Neural Networks -- 2.4 What Functions of the Brain Are Usually Modeled? -- 2.5 When Do We Have to Use Neural Computing? -- 2.6 Transformation, Relaxation, and Decoder -- 2.7 Categories of ANNs -- 2.8 Competitive-Learning Networks --
2.9 Three Phases of Development of Neural Models -- 2.10 A Simple Nonlinear Dynamic Model of the Neuron -- 2.11 Learning Laws -- 2.12 Brain Maps -- 3. The Basic SOM -- 3.1 The SOM Algorithm in the Euclidean Space -- 3.2 The
“Dot-Product SOM” -- 3.3 Preliminary Demonstrations of Topology-Preserving Mappings -- 3.4 Basic Mathematical Approaches to Self-Organization -- 3.5 Initialization of the SOM Algorithms -- 3.6 On the “Optimal” Learning-Rate Factor --
3.7 Effect of the Form of the Neighborhood Function -- 3.8 Magnification Factor -- 3.9 Practical Advice for the Construction of Good Maps -- 3.10 Examples of Data Analyses Implemented by the SOM -- 3.11 Using Gray Levels to Indicate
Clusters in the SOM -- 3.12 Derivation of the SOM Algorithm in the General Metric -- 3.13 What Kind of SOM Actually Ensues from the Distortion Measure? -- 3.14 Batch Computation of the SOM (“Batch Map”) -- 3.15 Further Speedup of SOM
Computation -- 4. Physiological Interpretation of SOM -- 4.1 Two Different Lateral Control Mechanisms -- 4.2 Learning Equation -- 4.3 System Models of SOM and Their Simulations -- 4.4 Recapitulation of the Features of the Physiological
SOM Model -- 5. Variants of SOM -- 5.1 Overview of Ideas to Modify the Basic SOM -- 5.2 Adaptive Tensorial Weights -- 5.3 Tree-Structured SOM in Searching -- 5.4 Different Definitions of the Neighborhood -- 5.5 Neighborhoods in the
Signal Space -- 5.6 Dynamical Elements Added to the SOM -- 5.7 Operator Maps -- 5.8 Supervised SOM -- 5.9 The Adaptive-Subspace SOM (ASSOM) -- 5.10 Feedback-Controlled Adaptive-Subspace SOM (FASSOM) -- 6. Learning Vector Quantization
-- 6.1 Optimal Decision -- 6.2 The LVQ1 -- 6.3 The Optimized-Learning-Rate LVQ1 (OLVQ1) -- 6.4 The LVQ2 (LVQ2.1) -- 6.5 The LVQ3 -- 6.6 Differences Between LVQ1, LVQ2 and LVQ3 -- 6.7 General Considerations -- 6.8 The Hypermap-Type LVQ
-- 6.9 The “LVQ-SOM” -- 7. Applications -- 7.1 Preprocessing of Optic Patterns -- 7.2 Acoustic Preprocessing -- 7.3 Process and Machine Monitoring -- 7.4 Diagnosis of Speech Voicing -- 7.5 Transcription of Continuous Speech -- 7.6
Texture Analysis -- 7.7 Contextual Maps -- 7.8 Organization of Large Document Files -- 7.9 Robot-Arm Control -- 7.10 Telecommunications -- 7.11 The SOM as an Estimator -- 8. Hardware for SOM -- 8.1 An Analog Classifier Circuit -- 8.2
Fast Digital Classifier Circuits -- 8.3 SIMD Implementation of SOM -- 8.4 Transputer Implementation of SOM -- 8.5 Systolic-Array Implementation of SOM -- 8.6 The COKOS Chip -- 8.7 The TInMANN Chip -- 9. An Overview of SOM Literature --
9.1 General -- 9.2 Early Works on Competitive Learning -- 9.3 Status of the Mathematical Analyses -- 9.4 Survey of General Aspects of the SOM -- 9.5 Modifications and Analyses of LVQ -- 9.6 Survey of Diverse Applications of SOM -- 9.7
Applications of LVQ -- 9.8 Survey of SOM and LVQ Implementations -- 9.9 New References in the Second Edition -- 10. Glossary of “Neural” Terms -- References
ISBN:9783642979668
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Series in Information Sciences: 30
Keywords: Computer science , Neurosciences , Data mining , Artificial intelligence , Mathematics , Biophysics , Biological physics , Electrical engineering , Computer Science , Artificial Intelligence (incl. Robotics) , Data Mining and Knowledge Discovery , Neurosciences , Biophysics and Biological Physics , Communications Engineering, Networks , Mathematics, general
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Call number:SPRINGER-1997-9781461218289:ONLINE Show nearby items on shelf
Title:Weakly Connected Neural Networks
Author(s): Frank C Hoppensteadt
Date:1997
Size:1 online resource (402 p.)
Note:10.1007/978-1-4612-1828-9
Contents:1 Introduction -- 2 Bifurcations in Neuron Dynamics -- 3 Neural Networks -- 4 Introduction to Canonical Models -- 5 Local Analysis of WCNNs -- 6 Local Analysis of Singularly Perturbed WCNNs -- 7 Local Analysis of Weakly Connected Maps
-- 8 Saddle-Node on a Limit Cycle -- 9 Weakly Connected Oscillators -- 10 Multiple Andronov-Hopf Bifurcation -- 11 Multiple Cusp Bifurcation -- 12 Quasi-Static Bifurcations -- 13 Synaptic Organizations of the Brain -- References
ISBN:9781461218289
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Applied Mathematical Sciences: 126
Keywords: Mathematics , Neurosciences , Mathematical analysis , Analysis (Mathematics) , Biomathematics , Mathematics , Analysis , Mathematical and Computational Biology , Neurosciences
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Call number:SPRINGER-1996-9789401728300:ONLINE Show nearby items on shelf
Title:Quantum Mechanics on Phase Space
Author(s): Franklin E Schroeck
Date:1996
Size:1 online resource (672 p.)
Note:10.1007/978-94-017-2830-0
Contents:I — Basic Quantum Theory and the Necessity for Its Revision -- II — Basic Experiments Suggest Generalizing Quantum Mechanics -- III — Construction of Quantum Mechanics on Phase Space -- IV — Consequences of Formulating Quantum
Mechanics on Phase Space -- V — Foundational Aspects: -- References
ISBN:9789401728300
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Fundamental Theories of Physics, An International Book Series on The Fundamental Theories of Physics: Their Clarification, Development and Application : 74
Keywords: Physics , Neurosciences , Radiology , Topological groups , Lie groups , Global analysis (Mathematics) , Manifolds (Mathematics) , Quantum physics , Statistics , Physics , Quantum Physics , Global Analysis and Analysis on Manifolds , Topological Groups, Lie Groups , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Neurosciences , Imaging / Radiology
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Call number:SPRINGER-1996-9783642795701:ONLINE Show nearby items on shelf
Title:Principles of Brain Functioning A Synergetic Approach to Brain Activity, Behavior and Cognition
Author(s): Hermann Haken
Date:1996
Size:1 online resource (350 p.)
Note:10.1007/978-3-642-79570-1
Contents:Prologue -- I Foundations -- 1. Introduction -- 2. Exploring the Brain -- 3. Modeling the Brain. A First Attempt: The Brain as a Dynamical System -- 4. Basic Concepts of Synergetics I: Order Parameters and the Slaving Principle -- 5.
Dynamics of Order Parameters -- II Behavior -- 6. Movement Coordination — Movement Patterns -- 7. More on Finger Movements -- 8. Learning -- 9. Animal Gaits and Their Transitions -- 10. Basic Concepts of Synergetics II: Formation of
Spatio-temporal Patterns -- 11. Analysis of Spatio-temporal Patterns * -- 12. Movements on a Pedalo -- III EEG and MEG -- 13. Chaos, Chaos, Chaos -- 14. Analysis of Electroencephalograms -- 15. Analysis of MEG Patterns -- IV Cognition
-- 16. Visual Perception -- 17. Decision Making as Pattern Recognition -- 18. The Brain as a Computer or Can Computers Think? -- 19. Networks of Brains -- 20. Synergetics of the Brain: Where Do We Stand? Where Do We Go from Here? --
Appendices -- A. Analysis of Time Series -- A.1 Time Series Analysis -- A.2 Definition of Dimensions -- A.3 Dimension of Attractors -- A.4 Some Conclusions -- B. Determination of Adjoint Vectors -- C. The Potentials Occurring in Sect.
16.5 -- References and Further Reading -- About the Author
ISBN:9783642795701
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Series in Synergetics: 67
Keywords: Physics , Neurosciences , Pattern recognition , Biomathematics , Biophysics , Biological physics , Statistical physics , Dynamical systems , Physics , Biophysics and Biological Physics , Statistical Physics, Dynamical Systems and Complexity , Pattern Recognition , Neurosciences , Mathematical and Computational Biology
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Call number:SPRINGER-1995-9783642798146:ONLINE Show nearby items on shelf
Title:Models of Neural Networks I
Author(s):
Date:1995
Edition:Second Updated Edition
Size:1 online resource (355 p.)
Note:10.1007/978-3-642-79814-6
Contents:1. Collective Phenomena in Neural Networks -- 1.1 Introduction and Overview -- 1.2 Prerequisites -- 1.3 The Hopfield Model -- 1.4 Nonlinear Neural Networks -- 1.5 Learning, Unlearning, and Forgetting -- 1.6 Hierarchically Structured
Information -- 1.7 Outlook -- References -- 2. Information from Structure: A Sketch of Neuroanatomy -- 2.1 Development of the Brain -- 2.2 Neuroanatomy Related to Information Handling in the Brain -- 2.3 The Idea of Electronic
Circuitry -- 2.4 The Projection from the Compound Eye onto the First Ganglion (Lamina) of the Fly -- 2.5 Statistical Wiring -- 2.6 Symmetry of Neural Nets -- 2.7 The Cerebellum -- 2.8 Variations in Size of the Elements -- 2.9 The
Cerebral Cortex -- 2.10 Inborn Knowledge -- References -- 3. Storage Capacity and Learning in Ising-Spin Neural Networks -- 3.1 Introduction -- 3.2 Content-addressability: A Dynamics Problem -- 3.3 Learning -- 3.4 Discussion --
References -- 4. Dynamics of Learning -- 4.1 Introduction -- 4.2 Definition of Supervised Learning -- 4.3 Adaline Learning -- 4.4 Perceptron Learning -- 4.5 Binary Synapses -- 4.6 Basins of Attraction -- 4.7 Forgetting -- 4.8 Outlook
-- References -- 5. Hierarchical Organization of Memory -- 5.1 Introduction -- 5.2 Models: The Problem -- 5.3 A Toy Problem: Patterns with Low Activity -- 5.4 Models with Hierarchically Structured Information -- 5.5 Extensions -- 5.6
The Enhancement of Storage Capacity: Multineuron Interactions -- 5.7 Conclusion -- References -- 6. Asymmetrically Diluted Neural Networks -- 6.1 Introduction -- 6.2 Solvability and Retrieval Properties -- 6.3 Exact Solution with
Dynamic Functionals -- 6.4 Extensions and Related Work -- Appendix A -- Appendix B -- Appendix C -- References -- 7. Temporal Association -- 7.1 Introduction -- 7.2 Fast Synaptic Plasticity -- 7.3 Noise-Driven Sequences of Biased
Patterns -- 7.4 Stabilizing Sequences by Delays -- 7.5 Applications: Sequence Recognition, Counting, and the Generation of Complex Sequences -- 7.6 Hebbian Learning with Delays -- 7.7 Epilogue -- References -- 8. Self-organizing Maps
and Adaptive Filters -- 8.1 Introduction -- 8.2 Self-organizing Maps and Optimal Representation of Data -- 8.3 Learning Dynamics in the Vicinity of a Stationary State -- 8.4 Relation to Brain Modeling -- 8.5 Formation of a “Somatotopic
Map” -- 8.6 Adaptive Orientation and Spatial Frequency Filters -- 8.7 Conclusion -- References -- 9. Layered Neural Networks -- 9.1 Introduction -- 9.2 Dynamics of Feed-Forward Networks -- 9.3 Unsupervised Learning in Layered Networks
-- 9.4 Supervised Learning in Layered Networks -- 9.5 Summary and Discussion -- References -- Elizabeth Gardner-An Appreciation
ISBN:9783642798146
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Neurosciences , Pattern recognition , Biophysics , Biological physics , Statistical physics , Dynamical systems , Physics , Statistical Physics, Dynamical Systems and Complexity , Neurosciences , Pattern Recognition , Biophysics and Biological Physics
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Call number:SPRINGER-1995-9783642577604:ONLINE Show nearby items on shelf
Title:Neural Networks An Introduction
Author(s): Berndt Müller
Date:1995
Size:1 online resource (331 p.)
Note:10.1007/978-3-642-57760-4
Contents:1. The Structure of the Central Nervous System -- 2. Neural Networks Introduced -- 3. Associative Memory -- 4. Stochastic Neurons -- 5. Cybernetic Networks -- 6. Multilayered Perceptrons -- 7. Applications -- 8. More Applications of
Neural Networks -- 9. Network Architecture and Generalization -- 10. Associative Memory: Advanced Learning Strategies -- 11. Combinatorial Optimization -- 12. VLSI and Neural Networks -- 13. Symmetrical Networks with Hidden Neurons --
14. Coupled Neural Networks -- 15. Unsupervised Learning -- 16. Evolutionary Algorithms for Learning -- 17. Statistical Physics and Spin Glasses -- 18. The Hopfield Network for p/N’ 0 -- 19. The Hopfield Network for Finite p/N -- 20.
The Space of Interactions in Neural Networks -- 21. Numerical Demonstrations -- 22. ASSO: Associative Memory -- 23. ASSCOUNT: Associative Memory for Time Sequences -- 24. PERBOOL: Learning Boolean Functions with Back-Prop -- 25.
PERFUNC: Learning Continuous Functions with Back-Prop -- 26. Solution of the Traveling-Salesman Problem -- 27. KOHOMAP: The Kohonen Self-organizing Map -- 28. btt: Back-Propagation Through Time -- 29. NEUROGEN: Using Genetic Algorithms
to Train Networks -- References
ISBN:9783642577604
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Computer science , Neurosciences , Artificial intelligence , Statistical physics , Dynamical systems , Computer Science , Artificial Intelligence (incl. Robotics) , Statistical Physics, Dynamical Systems and Complexity , Neurosciences
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Call number:SPRINGER-1991-9783642971716:ONLINE Show nearby items on shelf
Title:Models of Neural Networks
Author(s):
Date:1991
Size:1 online resource (347 p.)
Note:10.1007/978-3-642-97171-6
Contents:1. Collective Phenomena in Neural Networks -- 1.1 Introduction and Overview -- 1.2 Prerequisites -- 1.3 The Hopfield Model -- 1.4 Nonlinear Neural Networks -- 1.5 Learning, Unlearning, and Forgetting -- 1.6 Hierarchically Structured
Information -- 1.7 Outlook -- References -- 2. Information from Structure: A Sketch of Neuroanatomy -- 2.1 Development of the Brain -- 2.2 Neuroanatomy Related to Information Handling in the Brain -- 2.3 The Idea of Electronic
Circuitry -- 2.4 The Projection from the Compound Eye onto the First Ganglion (Lamina) of the Fly -- 2.5 Statistical Wiring -- 2.6 Symmetry of Neural Nets -- 2.7 The Cerebellum -- 2.8 Variations in Size of the Elements -- 2.9 The
Cerebral Cortex -- 2.10 Inborn Knowledge -- References -- 3. Storage Capacity and Learning in Ising-Spin Neural Networks -- 3.1 Introduction -- 3.2 Content-addressability: A Dynamics Problem -- 3.3 Learning -- 3.4 Discussion --
References -- 4. Dynamics of Learning -- 4.1 Introduction -- 4.2 Definition of Supervised Learning -- 4.3 Adaline Learning -- 4.4 Perceptron Learning -- 4.5 Binary Synapses -- 4.6 Basins of Attraction -- 4.7 Forgetting -- 4.8 Outlook
-- References -- 5. Hierarchical Organization of Memory -- 5.1 Introduction -- 5.2 Models: The Problem -- 5.3 A Toy Problem: Patterns with Low Activity -- 5.4 Models with Hierarchically Structured Information -- 5.5 Extensions -- 5.6
The Enhancement of Storage Capacity: Multineuron Interactions -- 5.7 Conclusion -- References -- 6. Asymmetrically Diluted Neural Networks -- 6.1 Introduction -- 6.2 Solvability and Retrieval Properties -- 6.3 Exact Solution with
Dynamic Functionals -- 6.4 Extensions and Related Work -- Appendix A -- Appendix B -- Appendix C -- References -- 7. Temporal Association -- 7.1 Introduction -- 7.2 Fast Synaptic Plasticity -- 7.3 Noise-Driven Sequences of Biased
Patterns -- 7.4 Stabilizing Sequences by Delays -- 7.5 Applications: Sequence Recognition, Counting, and the Generation of Complex Sequences -- 7.6 Hebbian Learning with Delays -- 7.7 Epilogue -- Note Added in Proof -- References -- 8.
Self-organizing Maps and Adaptive Filters -- 8.1 Introduction -- 8.2 Self-organizing Maps and Optimal Representation of Data -- 8.3 Learning Dynamics in the Vicinity of a Stationary State -- 8.4 Relation to Brain Modeling -- 8.5
Formation of a “Somatotopic Map” -- 8.6 Adaptive Orientation and Spatial Frequency Filters -- 8.7 Conclusion -- References -- 9. Layered Neural Networks -- 9.1 Introduction -- 9.2 Dynamics of Feed-Forward Networks -- 9.3 Unsupervised
Learning in Layered Networks -- 9.4 Supervised Learning in Layered Networks -- 9.5 Summary and Discussion -- References -- Elizabeth Gardner — An Appreciation
ISBN:9783642971716
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Neurosciences , Pattern recognition , Thermodynamics , Biophysics , Biological physics , Statistical physics , Dynamical systems , Physics , Thermodynamics , Statistical Physics, Dynamical Systems and Complexity , Neurosciences , Pattern Recognition , Biophysics and Biological Physics
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Call number:SPRINGER-1991-9783642843013:ONLINE Show nearby items on shelf
Title:Neuronal Cooperativity
Author(s):
Date:1991
Size:1 online resource (302 p.)
Note:10.1007/978-3-642-84301-3
Contents:1. Introduction -- 2. The Structure-Function Problem in Visual Cortical Circuitry Studied by Cross-Correlation Techniques and Multi-Channel Recordings -- 2.1 An Approach to the Structure-Function Problem by Cross-Correlation Technique
-- 2.2 Experimental Techniques for Cross-Correlation Analysis -- 2.3 Basic Neuronal Interaction Demonstrated by Cross-Correlation Analysis -- 2.4 Signal Transmission Demonstrated by Cross-Correlation Analysis -- 2.5 Intracortical
Transmission Along a Single Functional Column or to Adjacent Functional Columns -- 2.6 Transmission to Distant Functional Columns -- 2.7 Functional Scheme of Visual Cortical Circuitry -- 2.8 Synaptic Interaction Studied by
Spike-Triggered Averaging -- 2.9 Multi-Channel Optical Recording of Neural Activity -- 2.10 Concluding Remarks -- References -- 3. Optical Imaging of Neuronal Activity in the Living Brain -- 3.1 Why Optical Imaging? -- 3.2 Optical
Imaging of Neuronal Activity with Voltage-Sensitive Dyes -- 3.3 Optical Imaging Based on Intrinsic Signals -- 3.4 Studies of the Organization and Interactions of Neuronal Populations in Vivo Utilizing Voltage-Sensitive Dyes -- 3.5
Optical Imaging of Activity Using Intrinsic Signals -- 3.6 Comparison of Optical Imaging With and Without Voltage-Sensitive Dyes -- 3.7 Conclusions -- References -- 4. Dynamic Aspects of Neuronal Cooperativity: Fast Stimulus-Locked
Modulations of Effective Connectivity -- 4.1 Introduction -- 4.2 Computational Methods -- 4.3 Results -- 4.4 Discussion -- References -- 5. Temporal Structure of Cortical Information Processing: Cortical Architecture, Oscillations and
Non-Separability of Spatio-Temporal Receptive Field Organization -- 5.1 Introduction -- 5.2 Temporal-Spatial Aspects of Receptive Field Organization -- 5.3 Summary -- 5.4 Perspectives — Anything is Temporal -- References -- 6. Spike
Train Correlations on Slow Time Scales in Monkey Visual Cortex -- 6.1 Spike Train Correlations -- 6.2 Correlations in the 50 ms Range -- 6.3 Correlations in the Range Fractions of Seconds to Minutes (“Covariability”) -- 6.4 Operation
of the Visual System in the Presence of Correlated Signals -- 6.5 Identification of Stimuli from Neuronal Responses -- 6.6 Signal Contents and Signal Importance -- References -- 7. Connectivity and Functional Organization in the
Mammalian Visual Cortex -- 7.1 Introduction -- 7.2 Horizontal Interactions Among Oriented Cells -- 7.3 Functional Organization and Connectivity in the Blob and Interblob Regions of Primate Striate Cortex -- 7.4 Conclusions --
References -- 8. The Formation of Cooperative Cells Assemblies in the Visual Cortex -- 8.1 Coherence of Feature as Criterion for Scene Segmentation -- 8.2 The Development of Binocular Correspondence as an Example for Experience
Dependent Selection of Neuronal Connections -- 8.3 The Control of Local Circuit Modifications by Global Gating Systems -- 8.4 Involvement of a Molecular Coincidence Detector in Use-Dependent Plasticity -- 8.5 Cooperativity Between
Distributed Neuronal Responses as Criterion for Local Circuit Modifications -- 8.6 Activity-Dependent Self-Organization at Higher Levels of Cortical Processing -- 8.7 Detection and Representation of Coherent Features by Synchronously
Oscillating Cell Assemblies -- References -- 9. Stimulus-Specific Synchronizations in the Visual Cortex: Linking of Local Features into Global Figures? -- 9.1 Search for Concepts of Global Cortical Processing -- 9.2 Development of
Experimental Techniques for the Analysis of Global Cortical Processing -- 9.3 Local Properties of Stimulus-Induced Oscillations in the Visual Cortex -- 9.4 Stimulus-Induced Synchronizations in Spatially Separated Assemblies -- 9.5
Mechanisms for Stimulus-Induced Synchronizations Between Remote Cortical Assemblies -- 9.6 Data from Awake Cats -- References -- 10. Cross-Correlation Analysis of Motoneuron Inputs in a Coordinated Motor Act -- 10.1 Patterns of
Activity and of Motoneuron Synchronization -- 10.2 The Primary Correlation Operator -- 10.3 Patterns of Input Connections to Intercostal Motoneurons -- 10.4 Direct Measurement of the Respiratory Input to Intercostal Motoneurons -- 10.5
Further Analysis of Motoneuron Synchronization -- 10.6 Conclusions -- References -- 11. Correlated Activity of Neurons: A Neural Code for Higher Brain Functions? -- 11.1 Introduction -- 11.2 Functional Properties of Single Neurons --
11.3 Firing Rates and Response Properties of Neighboring Neurons -- 11.4 Cross-Correlation Analysis: Significance and Limitations -- 11.5 Estimating the Efficacy of Neuronal Interactions -- 11.6 Cross-Correlation Analysis: Experimental
Results -- 11.7 Dynamics of Neuronal Interactions -- 11.8 Concluding Discussion -- References -- 12. Systems Neuronal Activity in Learning -- 12.1 Cortical Network Activity -- 12.2 Two Views on the Function of Cortical Neurons in
Learning -- 12.3 Two Types of Cortical Neuronal Network in Learning -- 12.4 Specificity of Cortical Networks -- 12.5 Conclusion -- References
ISBN:9783642843013
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Series in Synergetics: 49
Keywords: Physics , Neurosciences , Biophysics , Biological physics , Physics , Biophysics and Biological Physics , Neurosciences
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Call number:SPRINGER-1991-9783642768774:ONLINE Show nearby items on shelf
Title:Rhythms in Physiological Systems Proceedings of the International Symposium at Schloß Elmau, Bavaria, October 22–25, 1990
Author(s):
Date:1991
Size:1 online resource (363 p.)
Note:10.1007/978-3-642-76877-4
Contents:I Physiological Rhythmicity and Synergetics -- Physiology of Rhythms and Control Systems: An Integrative Approach -- Synergetics — Can It Help Physiology? -- II Cardiovascular Rhythms -- Autorhythmicity in Blood Vessels: Its
Biophysical and Biochemical Bases -- Role of the Rostroventrolateral Medulla in the Generation of Rhythmicities of the Sympathetic Activity -- Noninvasive Methods for Studying Rhythmic Nervous Control of Human Circulation -- The High
Pressure System of the Mammalian Circulation as a Dynamic Self-Organizing System -- Spectral Analysis of Circulatory Rhythms and Baroreflex Sensitivity in Man -- Spectral Analysis of Cardiovascular Variables as a Tool to Quantify
Neural Cardiovascular Control in the Laboratory and Real Life Conditions -- Cardiorespiratory Variability: Fractals, White Noise, Nonlinear Oscillators, and Linear Modeling. What’s to Be Learned? -- Spectral Analysis as an Assessment
of the Neural Control of the Heart: A Methodological Comparison -- Power Laws, Transients, Attractors, and Entropy: Possible Implications for Cardiovascular Dynamics -- III Respiratory Rhythms -- The Respiratory System — Features of
Modulation and Coordination -- Phase Resetting of Respiratory Rhythm — Experiments in Animals and Models -- Rhythmogenesis of Deterministic Breathing Patterns -- IV Motor Coordination -- Synergetic Dynamics of Biological Coordination
with Special Reference to Phase Attraction and Intermittency -- Synchronization of Rhythm in Motor Actions -- V Basis of Circadian Rhythmicities -- Interactions Between Human Circadian and (About 90 min) Sleep Rhythms: Problems in the
Simulation and the Analysis -- VI Rhythms in Electrical Activity of the Brain -- The Information Content of the Human EEG -- Synergetics of Evoked Alpha and Theta Rhythms in the Brain: Topographic and Modality-Dependent Aspects -- EEG
Rhythms — Event-Related Desynchronization and Synchronization -- VII Rhythms in Perception -- Psychological Modification and Synergetic Modelling of Perceptual Oscillations -- VIII Aspects of Systems Theory -- Spatio-Temporal EEG
Patterns -- Information Processing by Systems with Chemical Communication -- Criteria for the Relative Degree of Order in Self-Organization Processes -- Index of Contributors
ISBN:9783642768774
Series:eBooks
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Series:Springer Series in Synergetics: 55
Keywords: Physics , Human physiology , Neurosciences , Thermodynamics , Biophysics , Biological physics , Statistical physics , Dynamical systems , Physics , Biophysics and Biological Physics , Human Physiology , Neurosciences , Thermodynamics , Statistical Physics, Dynamical Systems and Complexity
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Call number:SPRINGER-1990-9783642972393:ONLINE Show nearby items on shelf
Title:Neural Networks An Introduction
Author(s): Berndt Müller
Date:1990
Size:1 online resource (266 p.)
Note:10.1007/978-3-642-97239-3
ISBN:9783642972393
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Neurosciences , Artificial intelligence , Thermodynamics , Statistical physics , Dynamical systems , Physics , Thermodynamics , Statistical Physics, Dynamical Systems and Complexity , Artificial Intelligence (incl. Robotics) , Neurosciences
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Call number:SPRINGER-1990-9783642487798:ONLINE Show nearby items on shelf
Title:Synergetics of Cognition Proceedings of the International Symposium at Schloß Elmau, Bavaria, June 4–8, 1989
Author(s):
Date:1990
Size:1 online resource (440 p.)
Note:10.1007/978-3-642-48779-8
Contents:I Introduction -- Synergetics as a Tool for the Conceptualization and Mathematization of Cognition and Behaviour — How Far Can We Go -- The Self-Organization Perspective in Cognition Research: Historical Remarks and New Experimental
Approaches -- II Network Models -- Experiments with Representation in Neural Networks: Object Motion, Speech, and Arithmetic -- Connectionist Generalization and Incremental Learning in Combinatorial Domains -- III Oscillatory Processes
in the Brain -- Synchronization of Oscillatory Responses in Visual Cortex: A Plausible Mechanism for Scene Segmentation -- Stimulus-Specific Synchronization in Cat Visual Cortex and Its Possible Role in Visual Pattern Recognition -- A
Model for Feature Linking via Correlated Neural Activity -- On the Problem of Anomalous Dispersion in Chaoto-Chaotic Phase Transitions of Neural Masses, and Its Significance for the Management of Perceptual Information in Brains -- A
Hypothesis Concerning Timing in the Brain -- Prolegomenon for a Holonomic Brain Theory -- IV Stability in Cognitive Systems -- The Phenomenology of Autonomous Order Formation in Perception -- Stability and Instability in Cognitive
Systems: Multistability, Suggestion, and Psychosomatic Interaction -- V Perception and Action -- Concepts in Early Vision -- Visual Representations in the Brain: Inferences from Psychophysical Research -- Phase Transitions: Foundations
of Behavior -- Links Between Active Perception and the Control of Action -- Symmetry and Symmetry-Breaking in Thermodynamic and Epistemic Engines: A Coupling of First and Second Laws -- Autonomous Organization in Perception and Motor
Control -- VI Psycho-emotional Development and Social Cognition -- Three Worlds Interactionism and Developmental Psychology: Perspectives of the Synergetic Approach -- Phase Transitions in Psychoemotional Development -- Preliminary
Notes on Social Synergetics, Cognitive Maps and Environmental Recognition -- Synergetics in Clinical Psychology -- VII Language Processes -- Structure and Computation in the Human Mental Lexicon -- Basic Principles of Self-Organization
in Language -- Name Index -- Index of Contributors
ISBN:9783642487798
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Series in Synergetics: 45
Keywords: Physics , Neurosciences , Artificial intelligence , Zoology , Physics , Theoretical, Mathematical and Computational Physics , Zoology , Neurosciences , Artificial Intelligence (incl. Robotics)
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Call number:SPRINGER-1989-9783642881633:ONLINE Show nearby items on shelf
Title:Self-Organization and Associative Memory
Author(s): Teuvo Kohonen
Date:1989
Edition:Third Edition
Size:1 online resource (312 p.)
Note:10.1007/978-3-642-88163-3
Contents:1. Various Aspects of Memory -- 1.1 On the Purpose and Nature of Biological Memory -- 1.2 Questions Concerning the Fundamental Mechanisms of Memory -- 1.3 Elementary Operations Implemented by Associative Memory -- 1.4 More Abstract
Aspects of Memory -- 2. Pattern Mathematics -- 2.1 Mathematical Notations and Methods -- 2.2 Distance Measures for Patterns -- 3. Classical Learning Systems -- 3.1 The Adaptive Linear Element (Adaline) -- 3.2 The Perceptron -- 3.3 The
Learning Matrix -- 3.4 Physical Realization of Adaptive Weights -- 4. A New Approach to Adaptive Filters -- 4.1 Survey of Some Necessary Functions -- 4.2 On the “Transfer Function” of the Neuron -- 4.3 Models for Basic Adaptive Units
-- 4.4 Adaptive Feedback Networks -- 5. Self-Organizing Feature Maps -- 5.1 On the Feature Maps of the Brain -- 5.2 Formation of Localized Responses by Lateral Feedback -- 5.3 Computational Simplification of the Process -- 5.4
Demonstrations of Simple Topology-Preserving Mappings -- 5.5 Tonotopic Map -- 5.6 Formation of Hierarchical Representations -- 5.7 Mathematical Treatment of Self-Organization -- 5.8 Automatic Selection of Feature Dimensions -- 6.
Optimal Associative Mappings -- 6.1 Transfer Function of an Associative Network -- 6.2 Autoassociative Recall as an Orthogonal Projection -- 6.3 The Novelty Filter -- 6.4 Autoassociative Encoding -- 6.5 Optimal Associative Mappings --
6.6 Relationship Between Associative Mapping, Linear Regression, and Linear Estimation -- 6.7 Recursive Computation of the Optimal Associative Mapping -- 6.8 Special Cases -- 7. Pattern Recognition -- 7.1 Discriminant Functions -- 7.2
Statistical Formulation of Pattern Classification -- 7.3 Comparison Methods -- 7.4 The Subspace Methods of Classification -- 7.5 Learning Vector Quantization -- 7.6 Feature Extraction -- 7.7 Clustering -- 7.8 Structural Pattern
Recognition Methods -- 8. More About Biological Memory -- 8.1 Physiological Foundations of Memory -- 8.2 The Unified Cortical Memory Model -- 8.3 Collateral Reading -- 9. Notes on Neural Computing -- 9.1 First Theoretical Views of
Neural Networks -- 9.2 Motives for the Neural Computing Research -- 9.3 What Could the Purpose of the Neural Networks be? -- 9.4 Definitions of Artificial “Neural Computing” and General Notes on Neural Modelling -- 9.5 Are the
Biological Neural Functions Localized or Distributed? -- 9.6 Is Nonlinearity Essential to Neural Computing? -- 9.7 Characteristic Differences Between Neural and Digital Computers -- 9.8 “Connectionist Models” -- 9.9 How can the Neural
Computers be Programmed? -- 10. Optical Associative Memories -- 10.1 Nonholographic Methods -- 10.2 General Aspects of Holographic Memories -- 10.3 A Simple Principle of Holographic Associative Memory -- 10.4 Addressing in Holographic
Memories -- 10.5 Recent Advances of Optical Associative Memories -- Bibliography on Pattern Recognition -- References
ISBN:9783642881633
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Series in Information Sciences: 8
Keywords: Medicine , Neurosciences , Computer hardware , Software engineering , Artificial intelligence , Biophysics , Biological physics , Applied mathematics , Engineering mathematics , Biomedicine , Neurosciences , Biophysics and Biological Physics , Appl.Mathematics/Computational Methods of Engineering , Computer Hardware , Software Engineering/Programming and Operating Systems , Artificial Intelligence (incl. Robotics)
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Call number:SPRINGER-1989-9781468463910:ONLINE Show nearby items on shelf
Title:Depth Perception in Frogs and Toads A Study in Neural Computing
Author(s): Donald House
Date:1989
Size:1 online resource (135 p.)
Note:10.1007/978-1-4684-6391-0
Contents:1 Introduction -- 2 Modeling Depth Perception in Frogs and Toads -- 2.1 Previous Models of Depth Perception -- 2.2 Depth Perception in Frogs and Toads -- 2.3 Anatomy and Physiology -- 2.4 Functional Analysis of the Major Visuomotor
Centers -- 2.5 Modeling Assumptions -- 2.6 Conclusions -- 3 Monocular and Binocular Cooperation -- 3.1 Design of the Model -- 3.2 Methods -- 3.3 Results -- 3.4 Discussion -- 4 Localization of Prey -- 4.0.1 Background -- 4.0.2 Model
overview -- 4.1 Methods -- 4.2 Results -- 4.3 Discussion -- 5 Towards a Complete Model -- 5.1 The Cue Interaction and Prey Localization Models -- 5.2 An Extended Model of Accommodation Control -- 5.3 Experimental Verification of the
Models’ Depth Scale -- 5.4 Discussion -- 6 Conclusions -- 6.1 The Models and their Contributions -- 6.2 Suggestions for Animal Experiments -- 6.3 Suggestions for Robotic Algorithms -- A Modeling and Simulation Details -- A.1
Representation of a Neural Unit -- A.2 Representation of a Neural Layer -- A.3 Numerical Methods -- A.4 The Cue Interaction Model -- A.5 The Prey Localization Model -- B Simulation Optics -- B.1 Optical Geometry -- B.2 Representation
of Prisms -- B.3 Retinal Projections -- B.4 Disparity Input Planes -- B.5 Accommodation Input Planes -- B.6 Representation of Lenses -- B.7 Conversion from Internal to External Coordinates -- B.8 Nominal Parameter Settings
ISBN:9781468463910
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Biomathematics: 80
Keywords: Medicine , Neurosciences , Artificial intelligence , Biomathematics , Biomedicine , Neurosciences , Mathematical and Computational Biology , Artificial Intelligence (incl. Robotics)
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Call number:SPRINGER-1988-9789400929753:ONLINE Show nearby items on shelf
Title:Biomathematics and Related Computational Problems
Author(s):
Date:1988
Size:1 online resource (734 p.)
Note:10.1007/978-94-009-2975-3
Contents:I. Neurosciences and Related Problems -- Mathematical methods of neurodynamics and self-organization -- Problems connected with neuronic equations -- A birth-and-death model for single neuron’s activity -- Spatio-temporal patterns of
activity in neural systems: simulation and analysis -- Statistical inference for stochastic neuronal models -- A diffusion neuronal model and its parameters -- Parallel processing in nervous systems with converging and diverging
transmission -- White-noise analysis of neuron circuitry -- Perception quantitatively analyzed -- Learning in a cortical-like neural system model -- II. Population Theories -- Ecology -- Dynamics of a lake ecosystem -- Oscillations of
a biotic species feeding on an abiotic resource -- Estimating parameters and extinction probabilities in population stochastic differential equations models -- A mathematical framework for the life-cycle of plankto-benthonic
invertebrates -- Balanced growth rates vs. balanced accelerations as causes of ecological equilibria -- A stochastic model of grass growth under grazing -- Spectral analysis of secondary growth patterns in Pinus uncinata --
Physiologically structured population models in risk assessment -- The management of marine fishery in Italy: a bio-economic optimization -- Optimal life history models: effects of nonlinearities in the response of reproductive success
to investment -- Variations in the length of activity periods: a test of a general model by simulation -- Dynamics and Evolution -- Homotopy techniques in stability problems of delay-diffusion Volterra models -- A counting process
approach for stochastic age-dependent population dynamics -- Local and global stability of discrete one-dimensional population models -- On the evolution of altruistic cooperation -- Lotka-Volterra models: partial stability and partial
ultimate boundedness -- A mathematical model of age-structured population dynamics with density dependent diffusion -- Origins of order in evolution: self organization and selection -- A stable spatially non-constant equilibrium of
Lotka-Volterra two-patch system with May-Leonard dynamics -- Stabilization in a nonlinear agedependent population model -- Theories of evolution of social behavior -- On the boundedness of solutions for cyclic predator-prey systems --
III. Morphogenesis and Pattern Formation -- A model for rouleaux pattern formation of red blood cells. Enumeration of absolutely stable patterns -- Concentration waves in aggregation fields of a cellular slime mold -- Pattern
generation in cellular spaces -- Modeling of biological aggregation patterns -- IV. Theoretical and Computational Methods -- Shot noise random fields -- Scalar steady-state in population biology as a nonlinear eigenvalue problem --
Numerical studies of symmetry-breaking bifurcations in reaction-diffusion systems -- Structural laws for hierarchical systems -- Dynamics of Alopex process: application to optimization problems -- Investigation of precursor-product
relationships in radiotracer studies -- On a learning neural network -- Some considerations on the relationships between human and artificial intelligence -- Some numerical problems arising in the discretization of population dynamics
models -- Stability in models with long memories -- Bio-mathematical approach to a new-generation computer -- Parametric stability of model ecosystems -- On the maximum of Gaussian Fourier series connected with random vibrations -- On
a strongly coupled parabolic system in population dynamics -- Some remarks on first-passage-time problems -- Nonlinear random reaction-diffusion systems -- V. Biological, Chemical and Physical Systems -- Modification of the
chaotic/order state of biological sistems by using electric fields -- Mathematical modelling for contracting muscle -- Macroscopic cardiac source model and propagation waves in excitable media -- Complexity and self-organization in
enzyme catalysis: non-Kramers behaviours of the reaction rate -- Discrete and continuous media in the presence of a frequency gradient -- Electrical excitation propagation front in the cardiac muscle -- Artificial intelligence in
medicine, cognitive science and epidemiological models -- Pattern-dynamics in excitable reaction-diffusion systems -- Symmetry breaking and Goldstone modes in neural nets -- On the elrctrical activity and glucose response of insuline
secreting cells -- The dynamics of organizing centers: numerical experiments in differential geometry -- Name Index
ISBN:9789400929753
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Mathematical models , Mathematics , Mathematical Modeling and Industrial Mathematics
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Call number:SPRINGER-1988-9783642731518:ONLINE Show nearby items on shelf
Title:Photosensitisation Molecular, Cellular and Medical Aspects
Author(s):
Date:1988
Size:1 online resource (521 p.)
Note:10.1007/978-3-642-73151-8
Contents:Past, present and future of photosensitisers -- Primary photochemical processes -- Continuous irradiation and emission methods -- Fluorescence lifetimes of chromophores interacting with biomolecules -- Pulse radiolysis -- The
photophysics and photochemistry of some dye sensitisers -- Spectral properties of hypericin-metal complexes -- Photolysis of the photosensitisers biothionol and fentichlor -- Laser flash photolysis and singlet oxygen quantum yields of
anthracyclines -- Characterization of the anthralin radical by pulse radiolysis and laser photolysis -- Photophysical and photodynamic properties of new photosensitisers -- Photoacoustic spectroscopy in biomedical sciences -- Absolute
determination of quantum yields of Photosensitisation by time resolved thermal lensing -- Hematoporphyrin-manganese: a contrast agent for tumors in magnetic resonance imaging -- Interactions of light with biological tissue -- Optical
measurements on tissue layers -- The optical properties of tissues at 633 nanometers as related to light dosimetry in photodynamic therapy -- Applications of the change in tissue optical properties caused by the prescence of
photosensitisers -- Mechanistic characterization of photosensitised reactions -- Singlet oxygen involvement in membrane photomodification -- Standards for singlet oxygen sensitization -- Biological and chemical photoproduction of
hydrogen peroxide -- Cell models -- Biological target molecules and cell structures in mammalian cell photosensitization -- Porphyrin photosensitisation of mitochondria -- Nuclear damage in mammalian cell photosensitization --
Biological implications of lesions introduced into DNA by singlet oxygen -- Damage to DNA repair in Murine L929 fibroblasts induced by the photodynamic action of HPD -- Photoinactivation of cells studied by 31P-NMR -- Sunlight,
melanogenesis, and free radicals in the skin -- Pulsed irradiation studies of some reactions of melanin precursors -- Melanin and photoprotection -- Pigmentogenic effects of psoralens -- Melanogenesis and light regulated experimental
carcinogenesis -- Role of melanins and drugs in cutaneous photosensitivity -- Skin and related photoreactions -- Phototherapy for pruritus in primary biliary cirrhosis -- Psoralens: a review -- Mutagenesis of psoralens on eukaryotic
cells -- Bichromophoric systems to study the base-psoralen photoreactions -- Photophysical behaviour of 5-methoxypsoralen in different solvent systems -- Furocoumarin photosensitized reations with fatty acids -- Furocoumarin
photosensitisation: wavelength dependence of monoadduct and crosslink formation in yeast -- The use of animal models for human risk assessment of psoralen photocarcinogenesis -- Phototherapy and PUVA therapy -- Ocular phototoxicity --
Ocular protection for patients undergoing PUVA or photodynamic therapy -- Diseases associated with defective tetrapyrrole metabolism: porphyria and hyperbilirubinemia -- Photophysical and related aspects of haematoporphyrin and related
systems -- Photophysical properties of chlorin derivatives of haematoporphyrin -- Insoluble polymer-supported porphyrins as photosensitisers -- Water-soluble metal napthalocyanines as potential photosensitisers -- HPDs chemical and
biophysical studies -- Studies of Photofrin II - induced photosensitisation of human red blood cells: variability between blood samples -- In vitro uptake and photodynamic action of tetra (3-hydroxyphenyl) porphyrin in cells --
Quantitative aspects of the interaction of porphyrins with cells -- Uptake of the anticancer porphyrin mixture Photofrin II by human fibroblasts from low density lipoprotein, high density lipoprotein and albumin -- Parameters
influencing photodynamic selectivity of normal progenitors vs leukemia cells -- Porphyrin-protein interaction -- Photomodification of porphyrins in biological systems -- Photoradiation therapy of rodent tumors -- Targets of porphyrins
photodynamic action in vivo -- Phthalocyanines as sensitisers for photodynamic therapy of cancer -- Pulsed laser studies of aluminium phthalocyanine derivatives -- Zn-phthalocyanine as a possible phototherapeutic agent for tumors --
Photochemotherapy - clinical aspects -- In vivo fluorescence from mouse skin: spectral evidence for the presence of chlorophyll derivatives -- DHE uptake and PDT response in an in vitro tumor model -- Fluorescence diagnosis and
photodynamic therapy evaluation of sensitisers by comparison of their pharmacokinetics -- In vivo aspects of PDT -- Alternative synthesis of “DHE” analogues -- New photosensitisers for PDT -- A dose response study of two purpurins on
the AY-27 rat bladder tumor -- In vivo cytotoxicity of metallopurpurins to bladder tumors -- Potential phototoxicity in the photosensitive patient -- Participants
ISBN:9783642731518
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:NATO ASI Series, Series H: Cell Biology : 15
Keywords: Physics , Immunology , Neurosciences , Allergy , Biochemistry , Cell biology , Biophysics , Biological physics , Physics , Biophysics and Biological Physics , Cell Biology , Biochemistry, general , Neurosciences , Allergology , Immunology
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Call number:SPRINGER-1987-9783642933608:ONLINE Show nearby items on shelf
Title:Mathematical Topics in Population Biology, Morphogenesis and Neurosciences Proceedings of an International Symposium held in Kyoto, November 10–15, 1985
Author(s):
Date:1987
Size:1 online resource (352 p.)
Note:10.1007/978-3-642-93360-8
Contents:Introductory Lectures -- Chaos and fractals -- Recurrent themes in mathematical biology -- I. Mathematical Ecology and Population Biology -- The Structure of Populations and Communities -- Fantastic voyage into the deep: marine
biofluid mechanics -- On the mathematical synthesis of physiological and behavioural mechanisms and population dynamics -- A necessary and sufficient assembly rule for real ecosystems -- Markovian foraging models -- The theory of
population dynamics: back to first principles -- Dispersal -- Ecological and evolutionary aspects of dispersal -- The speeds of traveling frontal waves in heterogeneous environments -- Quantitative modeling of growth and dispersal in
population models -- The interaction between dispersal and dormancy strategies in varying and heterogeneous environments -- Segregation structures of competing species mediated by a diffusive predator -- A spatially aggregating
population model involving size-distributed dynamics -- Evolution -- Evolution of the number of sexes -- A lattice model for population biology -- Population genetical mechanism of molecular evolution — stochastic selection as an
alternative to random drift — -- Evolutionary and ecological stability of prey-predator systems with predatory switching -- II. Mathematical Theories of Pattern and Morphogenesis -- Morphogenesis and Pattern Formation -- Pattern
formation by coupled oscillations: the pigmentation patterns on the shells of molluscs -- From map systems to plant morphogenesis -- The cortical tractor: a new model for epithelial morphogenesis -- Pattern Formation in Dictyostelium
discoideum -- An equilibrium theory of cell distribution in Dictyostelium discoideum -- A model for pattern formation in Dictyostelium discoideum -- A density dependent model for prestalk/prespore pattern formation in Dictyostelium
discoideum I. Basic mathematical framework -- Origin of bursting and birhythmicity in a model for cyclic AMP oscillations in Dictyostelium cells -- III. Theoretical Neurosciences and Related Problems in Physiology -- Neurosciences --
Mathematical modelling of macroscopic brain phenomena -- A formal classification of bursting mechanisms in excitable systems -- On the topological representation of signals in self-organizing nerve fields -- The dynamics of a
glia-modulated neural network and its relation to brain functions -- Self-organization in nervous systems: some illustrations -- Physiology and Related Problems -- Toward molecular sensory physiology: mathematical models -- Outline of
some recent results on the first-passage-time problem in biological modeling -- Active rotator model for large populations of oscillatory and excitable elements -- The harnessing and stability of striated muscle
ISBN:9783642933608
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Biomathematics: 71
Keywords: Mathematics , Neurosciences , Applied mathematics , Engineering mathematics , Biomathematics , Statistics , Mathematics , Applications of Mathematics , Neurosciences , Mathematical and Computational Biology , Statistics for Life Sciences, Medicine, Health Sciences
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Call number:SPRINGER-1987-9783540478195:ONLINE Show nearby items on shelf
Title:Heidelberg Colloquium on Glassy Dynamics Proceedings of a Colloquium on Spin Glasses, Optimization and Neural Networks Held at the University of Heidelberg June 9–13, 1986
Author(s):
Date:1987
Size:1 online resource (577 p.)
Note:10.1007/BFb0057505
Contents:Disorder, frustration and metastability: The development of a new era -- Recent experiments on spin glasses: An overview -- Experiments on relaxation in metallic spin glasses -- Magnons in spin-glasses in zero-field and in high
magnetic fields: Experiments and theory -- Search for phase transition in the spin glass Eu0.4Sr0.6S by dynamic susceptibility measurements -- Dynamics across the transition line in the insulating spin-glass Eu(0.4)Sr(0.6)S -- Critical
static and dynamic measurements of the magnetization of an insulating spinglass – Fractal model interpretation -- Non-exponential decay of polarization in electric dipole glasses -- Low temperature experiments on glasses -- Scaling
theory of the ordered phase of spin glasses -- Dynamics of the formation of ordered domains out of initially disordered configurations -- Phase transitions and equilibrium dynamics in strongly random Ising spin systems -- Numerical
studies of spin glasses -- On replica symmetric Ising spin glasses -- Some remarks on ultrametricity -- On the dynamic solution of the SK-model: Evidence against ultrametricity and all that -- Diffusion in ultrametric spaces --
Relaxation in complex systems -- A pedestrian review of the theory and application of the simulated annealing algorithm -- Monte Carlo and mean field slow cooling simulations for spin glasses: relation to NP-completeness -- Calculating
exact ground states of spin glasses: A polyhedral approach -- Spin glasses and optimization -- Engineering applications of spin glass concepts -- Spin-glasses, optimization and neural networks -- The properties of models of simple
neural networks -- The theory of neural networks: The Hebb rule and beyond -- Neural networks with asymmetric bonds -- Irreversible spin glasses and neural networks -- Nonlinear neural networks: Efficient storage and retrieval of
information -- Short-term memory
ISBN:9783540478195
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Physics: 275
Keywords: Physics , Neurosciences , Condensed matter , Biophysics , Biological physics , Physics , Condensed Matter Physics , Theoretical, Mathematical and Computational Physics , Biophysics and Biological Physics , Neurosciences
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Call number:SPRINGER-1986-9783642500381:ONLINE Show nearby items on shelf
Title:Peripheral Auditory Mechanisms Proceedings of a conference held at Boston University, Boston, MA, August 13–16, 1985
Author(s):
Date:1986
Size:1 online resource (402 p.)
Note:10.1007/978-3-642-50038-1
Contents:Outer and Middle Ear Mechanics -- The effectiveness of external and middle ears in coupling acoustic power into the cochlea -- Spatial distribution of sound pressure in the ear canal -- The impulse response vibration of the human ear
drum -- Formulation and analysis of a dynamic fiber composite continuum model of the tympanic membrane -- How do contractions of the stapedius muscle alter the acoustic properties of the ear? -- Measurement of eardrum acoustic
impedance -- Middle ear research using a SQUID magnetometer. I. Micro- and macromechanical selection of polymer materials for artificial tympanic membranes -- Middle ear research using a SQUID magnetometer. II. Transfer characteristics
of human middle ears -- Cochlear Macromechanics -- Cochlear macromechanics — a review -- Transients and speech processing in a three-dimensional model of the human cochlea -- The mechanics of the basilar membrane and middle ear in the
pigeon -- On the mechanics of the horseshoe bat cochlea -- Resonance and reflection in the cochlea: the case of the CF-FM bat, Rhinolophus Ferrumequinum -- The complete solution of the basilar membrane condition in two dimensional
models of the cochlea -- Longitudinal stiffness coupling in a 1-dimensional model of the peripheral ear -- Mössbauer measurements of the mechanical response to single-tone and two-tone stimuli at the base of the chinchilla cochlea --
Parameter sensitivity in a mathematical model of basilar membrane mechanics -- Cochlear Micromechanics -- Micromechanics of the cochlear partition -- On the role of fluid inertia and viscosity in stereociliary tuft motion: analysis of
isolated bodies of regular geometry -- Role of passive mechanical properties of outer hair cells in determination of cochlear mechanics -- Thresholds of auditory sensitivity and auditory fatigue: relation with cochlear mechanics --
Analysis of streaming flow induced in the tectorial gap -- Active Filtering in the Cochlea -- Active filtering by hair cells -- Determination of the cochlear power flux from basilar membrane vibration data -- An isolated sound emitter
in the cochlea: notes on modelling -- Stability of active cochlear models: need for a second tuned structure? -- Changes in spontaneous and evoked otoacoustic emissions and corresponding psychoacoustic threshold microstructures induced
by aspirin consumption -- Statistical properties of a strong spontaneous oto-acoustic emission -- The influence of temperature on frequency-tuning mechanisms -- Nonlinear and/or Active Processes -- An overview of nonlinear and active
cochlear models -- Evaluating traveling wave characteristics in man by an active nonlinear cochlea preprocessing model -- Modeling intracochlear and ear canal distortion product (2f1-f2) -- Interactions among multiple spontaneous
otoacoustic emissions -- Basilar membrane motion in guinea pig cochlea exhibits frequency-dependent DC offset -- Linear and nonlinear effects in a physical model of the cochlea -- Modelling the cochlear partition with coupled Van der
Pol oscillators -- New effects of cochlear nonlinearity in temporal patterns of auditory nerve fiber responses to harmonic complexes -- Wideband analysis of otoacoustic intermodulation -- Characterization of cubic intermodulation
distortion products in the cat external auditory meatus -- Acoustic overstimulation reduces 2f1-f2 cochlear emissions at all levels in the cat -- Harmonic acoustic emissions in the earcanal generated by single tones: experiments and a
model -- Steady-state response determination for models of the basilar membrane -- Transduction in the Cochlea -- Transduction in cochlear hair cells -- Furosemide affects ear-canal emissions produced by the injection of AC currents
into scala media -- Outer hair cell motility: a possible electro-kinetic mechanism -- Visualization of sensory hair cells in an in vivo preparation -- A model for transduction in hair cells involving strain-activated conductance --
Author index -- Permuted title index
ISBN:9783642500381
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Biomathematics: 64
Keywords: Mathematics , Neurosciences , Biomathematics , Statistics , Mathematics , Mathematical and Computational Biology , Neurosciences , Statistics for Life Sciences, Medicine, Health Sciences
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Call number:SPRINGER-1984-9781461253129:ONLINE Show nearby items on shelf
Title:Neurobiology of the Trace Amines Analytical, Physiological, Pharmacological, Behavioral, and Clinical Aspects
Author(s):
Date:1984
Size:1 online resource (598 p.)
Note:10.1007/978-1-4612-5312-9
Contents:A. Introduction -- Trace Amines: The Early Years -- Trace Amines and the Neurosciences: An Overview -- B. Analysis -- Invited Communications -- Quantification of Trace Amines and Their Metabolites by High Resolution or Metastable
Analysis Using Double Focussing Mass Spectrometry -- The Use of Enzymatic Radioisotopic Microassays for the Quantification of ?-Phenylethylamine, Phenylethanolamine, Tyramine, and Octopamine -- Gas Chromatography for Analysis of the
Trace Amines in Tissues and Body Fluids -- Free Communications -- Studies on Tryptamine Metabolism by GC-MS and HPLC Techniques -- A Rapid and Specific Technique for the Extraction of Tyramine and Octopamine from Biological Tissues for
HPLC Analysis -- Analysis of Octopamine, Dopamine, 5-Hydroxtryptamine, and Tryptophan in the Brain and Nerve Cord of the American Cockroach -- Natural Occurrence and Metabolism of the Isomeric Octopamines and Synephrines -- Octopamine
is Present in Retinas of Various Mammalian Species -- C. Physiology and Pharmacology -- Invited Communications -- Investigation of Trace Amine Metabolism in the Central Nervous System through Measurements on Cerebrospinal Fluid --
Analysis of Trace Amines: Endogenous Levels and the Effects of Various Drugs on Tissue Concentrations in the Rat -- Drug-Induced Changes in the Central Metabolism of Tyramine and Other Trace Monoamines: Their Possible Role in Brain
Functions -- Aminergic Control of the Electrocorticogram: A Progress Report -- Neuronal Transport of Trace Amines: An Overview -- Electrophysiological Studies of the Possible Role of Trace Amines in Synaptic Function -- Effects of
Octopamine and Serotonin on Neurones of Aplysia Californica -- Free Communications -- Individual Housing Stress Elevates Brain and Adrenal Tryptamine Content -- The Uptake and Release of 14C-Tryptamine by Rat Brain Slices --
Tryptamine-Induced Changes in Endogenous 5-Hydroxytryptamine and [3H]-5-HT Release from Mouse Hypothalamic Slices -- Effect of Chronic Haloperidol on the Levels of Blood and Urinary Phenylethylamine and Phenylacetic Acid in Rats -- A
Comparison of effects of Acute and Chronic Administration of Phenelzine and Tranylcypromine on Brain Concentrations of 2-Phenylethylamine, p-Tyramine, and Tryptamine in the Rat -- Phenylethylamine Deamination in the Noradrenergic
Neurotransmitter System -- Effect of Lignocaine on Tyramine and Serotonin Oxidation in Brain -- Degradation Kinetics by MAO of PEA Derivatives. A Model for the Molecular Basis of Their Analgesic and Behavioral effects? -- The Kinetics
of Hydroxylation of Phenylethylamine, Amphetamine, and Phenylalanine in Rodent Tissues -- Chronotropic and Inotropic Selectivity of Substituted Phenylethylamines in the Isolated, Perfused Rabbit Heart -- Trace Amine-Peptide
Interactions on Central Neurones: I. Tryptamine and Substance P -- Trace Amine-Peptide Interactions: II. Phenylethylamine and enkephalin p-Tyramine and enkephalin -- D. Behavior -- Invited Communications -- Beta-Phenylethylamine: Some
Preliminary Chronic Studies -- ?-Phenylethylamine: A Functional Role at the Behavioral Level? -- Differentiation of Phenylethylamine (PE)- and Amphetamine (AMPH)- Induced Behaviors -- Studies on the Mechanism of Action of
?-Phenylethylamine Stereotypy in Rodents: Implications for a ?-Phenylethylamine Animal Model of Schizophrenia -- Free Communications -- Effects of Tryptamine and 5-Hydroxytryptamine on Food Intake in the Rat -- 5-HT Involvement in
Tryptamine-Induced Behavior in Mice -- Hypodipsic Effects of ?-Phenylethylamine, Phenylethanolamine, N-Methylphenylethylamine, and d-Amphetamine: A Temporal Analysis -- Taste-Dependent Effects of Low Doses of ?-Phenylethylamine and
d-Amphetamine on Drinking in the Rat -- ?-Phenylethylamine and d-Amphetamine: Differential Potency in the Conditioned Taste Aversion Paradigm -- Locomotor Stimulant Effect of ?-Phenylethylamine-Naloxone -- E. Clinical Studies --
Invited Communications -- The Origin, Drug Interaction, Urine, Plasma, and CSF Concentrations of Phenylacetic Acid in Normal and Psychiatric Subjects -- The Catabolism of Trace Amines in Some Psychiatric Disorders -- Tyramine and
Depressive Illness -- Phenethylamine, Tyramine, and Other Trace Amines in Patients with Affective Disorders: Associations with Clinical State and Antidepressant Drug Treatment -- Phenylethylamine and Schizophrenia—Clinical and
Pharmacological Results -- Urinary Excretion of Tryptamine in Comparison to Normetanephrine and beta-Phenylethylamine in Human Volunteers after Subchronic Treatment with Different Monoamine Oxidase Inhibitors -- Free Communications --
p-Hydroxyphenylacetic Acid Concentration in the CSF of Patients with Neurological and Psychiatric Disorders -- Noncatecholic Phenylethylamines and MAO Activity in Diabetes and Migraine -- Phenylethylamine and Tardive Dyskinesia --
Phenylethylamine, Phenylacetic Acid, and Methionine Enkephalin Levels in Humans Following Profound Acute Stress -- 14C-Tryptamine Binding in Parkinson’s Disease and Hepatic Coma -- Biochemical and Antidepressant Mechanisms of
L-Deprenyl
ISBN:9781461253129
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Life sciences , Neurosciences , Biochemistry , Life Sciences , Biochemistry, general , Neurosciences
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Call number:SPRINGER-1983-9783642694219:ONLINE Show nearby items on shelf
Title:Synergetics of the Brain Proceedings of the International Symposium on Synergetics at Schloß Elmau, Bavaria, May 2 – 7, 1983
Author(s):
Date:1983
Size:1 online resource (380 p.)
Note:10.1007/978-3-642-69421-9
Contents:Introductory Remarks -- Synopsis and Introduction -- 1 Experimental Results -- 1. 1 Formation and Structure of Nervous Systems -- Vertical and Tangential Organization in the Neocortex -- Cell Biological Aspects of Neuronal
Communication: Trophic Interactions in the Developing and Adult Nervous System -- Self-Organization in Synaptogenesis: Interaction Between the Formation of Excitatory and Inhibitory Synapses -- 1. 2 Plasticity, Auto-Adaption -- Control
of Plastic Processes -- Reorganization of Neuronal Circuitry in the Vestibular System Following Unilateral Labyrinthine Removal -- Neuronal Activity as an Shaping Factor in the Self-Organization of Neuron Assemblies -- Dynamics of
Image Formation by Nerve Cell Assemblies -- Auto-Adaptive Control of Central Plasticity: Observations and Speculations -- 1. 3 Nonequilibrium Phase Transitions -- Neurodynamics of the Oculomotor System: Space-Time Recoding and a
Non-Equilibrium Phase Transition -- 1. 4 Synergetic Effects Caused by Molecular Inputs -- Evidence for Synergetic Dynamics in a Mammalian Pituitary Cell Perifusion System -- Opiomelanocortins, Learning and Memory: Significance of
Multiple Behavioural Information in One Polypeptide Molecule -- 1. 5 Multi-Electrodes -- A Multi-Electrode Matrix for Studies of Temporal Signal Correlations Within Neural Assemblies -- 1. 6 EEG and Synergetics of Neural Populations --
Synergetics of Neuronal Populations. A Survey on Experiments -- 1. 7 Field Effects on Neural Nets -- Molecular Aspects of Cell Membranes as Substrates for Interaction with Electromagnetic Fields -- 2 Theoretical Approaches -- 2. 1
Pattern Formation in the Inanimate World -- Pattern Selection in Cellular Structures -- Nonstationary Structures — Chaos and Order -- 2. 2 Modelling Self-Organization and Performance of Neural Nets -- How are Nervous Structures
Organized? -- Cooperation and Competition in Central Nervous System Development: A Unifying Approach -- Representation of Information in Spatial Maps which are Produced by Self-Organization -- Neural Substrates of Binocular Form
Perception: Filtering, Matching, Diffusion, and Resonance -- Cooperative Neural Processes in Amphibian Visual Prey Recognition -- A Comparative Analysis of Structure and Chaos in Models of Single Nerve Cells and Circadian Rhythms --
The Role of Chaos in Reliable Information Processing -- Solitons and Bioenergetics -- Theoretical Psychopathology: An Application of Dynamical Systems Theory to Human Behavior -- From Chemical Homology to Topological Temperature: A
Notion Relating the Structure and Function of Brain Polypeptides -- Index of Contributors
ISBN:9783642694219
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Series in Synergetics: 23
Keywords: Physics , Neurosciences , Biophysics , Biological physics , Physics , Theoretical, Mathematical and Computational Physics , Biophysics and Biological Physics , Neurosciences
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Call number:SPRINGER-1982-9783642931994:ONLINE Show nearby items on shelf
Title:Recognition of Pattern and Form Proceedings of a Conference Held at the University of Texas at Austin, March 22–24, 1979
Author(s):
Date:1982
Size:1 online resource (230 p.)
Note:10.1007/978-3-642-93199-4
Contents:Perceptual Mechanisms (Psychological, Biological, and Artificial): An Introduction -- The Past, Present and Future of Feature Detectors -- The Role of Terminators in Preattentive Perception of Line Textures -- Visual Information
Processing: The Structure and Creation of Visual Representations -- Trigger Features or Fourier Analysis in Early Vision: A New Point of View -- Feature Detectors, Visumotor Coordination and Efferent Control -- Feature Detectors and
Speech Perception: A Critical Evaluation -- The Physics of Visual Perception -- Early Visual Processing: Feature Detection or Spatial Filtering? -- On a Filter Approach to Understanding the Perception of Visual Form --
Neuroreductionistic Dogma — A Heretical Counterview
ISBN:9783642931994
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Biomathematics: 44
Keywords: Medicine , Neurosciences , Probabilities , Biomathematics , Statistics , Biomedicine , Neurosciences , Probability Theory and Stochastic Processes , Mathematical and Computational Biology , Statistics for Life Sciences, Medicine, Health Sciences
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Call number:SPRINGER-1982-9783642464669:ONLINE Show nearby items on shelf
Title:Competition and Cooperation in Neural Nets Proceedings of the U.S.-Japan Joint Seminar held at Kyoto, Japan February 15–19, 1982
Author(s):
Date:1982
Size:1 online resource (441 p.)
Note:10.1007/978-3-642-46466-9
Contents:I. An Opening Perspective -- 1. Competitive and Cooperative Aspects in Dynamics of Neural Excitation and Self-Organization -- II. Reaction-Diffusion Equations -- 2. Sigmoidal Systems and Layer Analysis -- 3. Asymptotic Behavior of
Stationary Homogeneous Neuronal Nets -- 4. Aggregation and Segregation Phenomena in Reaction-Diffusion Equations -- III. Single-Neuron and Stochastic Models -- 5. Nerve Pulse Interactions -- 6. Micronetworks in Nerve Cells -- 7. Role
and Use of Noise in Biological Systems -- 8. Stochastic, Quantal Membrane Conductances and Neuronal Function -- 9. Diffusion Approximations and Computational Problems for Single Neurons’ Activity -- 10. Periodic Pulse Sequences
Generated by an Analog Neuron Model -- 11. On a Mathematical Neuron Model -- IV. Oscillations in Neural Networks -- 12. Control of Distributed Neural Oscillators -- 13. Characteristics of Neural Network with Uniform Structure -- V.
Development and Plasticity of the Visual Systems -- 14. Systems Matching and Topographic Maps: The Branch-Arrow Model (BAM) -- 15. Differential Localization of Plastic Synapses in the Visual Cortex of the Young Kitten: Evidence for
Guided Development of the Visual Cortical Networks -- 16. Self-Organization of Neural Nets with Competitive and Cooperative Interaction -- 17. A Simple Paradigm for the Self-Organized Formation of Structured Feature Maps -- 18.
Neocognitron: A Self-Organizing Neural Network Model for a Mechanism of Visual Pattern Recognition -- 19. On the Spontaneous Emergence of Neuronal Schemata -- 20. Associative and Competìve Principles of Learning and Development -- VI.
Sensori-Motor Transformations and Learning -- 21. Modelling Neural Mechanisms of Visuomotor Coordination in Frog and Toad -- 22. Two-Dimensional Model of Retinal-Tectal-Pretectal Interactions for the Control of Prey-Predator
Recognition and Size Preference in Amphibia -- 23. Tensor Theory of Brain Function:The Cerebellum as a Space-Time Metric -- 24. Mechanisms of Motor Learning -- 25. Dynamic and Plastic Properties of the Brain Stem Neuronal Networks as
the Possible Neuronal Basis of Learning and Memory
ISBN:9783642464669
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Biomathematics: 45
Keywords: Medicine , Neurosciences , Biomathematics , Biomedicine , Neurosciences , Mathematical and Computational Biology
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Call number:SPRINGER-1981-9783642464454:ONLINE Show nearby items on shelf
Title:Mathematical Modeling of the Hearing Process Proceedings of the NSF-CBMS Regional Conference Held in Troy, NY, July 21–25, 1980
Author(s):
Date:1981
Size:1 online resource (108 p.)
Note:10.1007/978-3-642-46445-4
Contents:Cochlear Modeling-1980 -- Studies in Cochlear Mechanics -- A Hydroelastic Model of the Cochlea: An Analysis for Low Frequencies -- Basilar Membrane Response Measured in Damaged Cochleas of Cats -- A Mathematical Model of the
Semicircular Canals -- The Acoustical Inverse Problem for the Cochlea
ISBN:9783642464454
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Biomathematics: 43
Keywords: Mathematics , Neurosciences , Mathematical models , Biomathematics , Mathematics , Mathematical Modeling and Industrial Mathematics , Neurosciences , Mathematical and Computational Biology
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Call number:SPRINGER-1980-9783642501531:ONLINE Show nearby items on shelf
Title:Mathematical Models of the Dynamics of the Human Eye
Author(s): Richard Collins
Date:1980
Size:1 online resource (99 p.)
Note:10.1007/978-3-642-50153-1
Contents:1. Introduction -- 1. Anatomy of the eye -- 2. Regulation of intraocular pressure -- 3. Units and conventions -- 2. Volume Changes in the Eye -- 1. Ocular circulation -- 2. Pressure — flow relation for the vascular bed -- 3.
Pressure-volume relation for the vascular bed -- 4. Aqueous humour dynamics -- 5. Ocular rigidity function -- 6. Causal relationships (influence diagram) -- 7. The Standard Eye -- 8. A summary of normal values and relations -- 3.
General Time-Dependent Model -- 1. Governing equations -- 2. Approximate analytical solutions -- 3. Numerical solutions -- 4. Neural Control of the Intraocular Pressure -- 5. Measurement Techniques -- 1. Measurement of intraocular
pressure -- 6. Relation of Ocular Dynamics to the Cerebral Circulation -- 1. Clinical methods of assessing the cerebral circulation -- 7. Summary and Conclusions -- Mathematical Notation -- References
ISBN:9783642501531
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Biomathematics: 34
Keywords: Mathematics , Neurosciences , Biomathematics , Mathematics , Mathematical and Computational Biology , Neurosciences
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Call number:SPRINGER-1980-9783642455179:ONLINE Show nearby items on shelf
Title:Analysis of Neural Networks
Author(s): Uwe an der Heiden
Date:1980
Size:1 online resource (164 p.)
Note:10.1007/978-3-642-45517-9
Contents:1. The general form of a neural network -- 1.1 Introduction -- 1.2 The transformation of impulse frequencies into generator potentials (intercellular transmission) -- 1.3 The transformation of generator potentials into impulse
frequencies (intracellular transmission) -- 1.4 Structures of neural networks -- 2. On the relations between several models for neural networks -- 2.1 The retinal network of Limulus polyphemus the Hartline-Ratliff equations -- 2.2 A
statistical approach: activities in coupled neuron pools models of Cowan, Feldman, Wilson -- 2.3 Discrete models -- 3. Existence and uniqueness of time dependent solutions -- 4. Steady states of finite-dimensional networks -- 4.1
Existence problem -- 4.2 The number of steady states -- 4.3 Input-output behavior of stationary networks -- 4.4 An example of spatial hysteresis -- 5. Local stability analysis of nets with finitely many neurons -- 5.1 Introduction --
5.2 The linearization principle -- 5.3 Some simple general criteria for asymptotic stability -- 5.4 Single neurons -- 5.5 Pairs of neurons -- 5.6 Closed chains of neurons -- 6. Oscillations in nets with finitely many neurons -- 6.1
Introduction -- 6.2 Oscillations in closed chains of neurons -- 6.3 Oscillations in systems with delays -- 7. Homogeneous tissues with lateral excitation or lateral inhibition -- 7.1 Introduction -- 7.2 The model -- 7.3 Stationary
solutions and their stability -- 7.4 Thresholds in bistable tissues -- 7.5 Traveling fronts -- 7.6 Diverging pairs of fronts (spread of excitation or depression) -- 8. Homogeneous tissues with lateral excitation and self-inhibition --
8.1 The model -- 8.2 Bulk oscillations -- 8.3 Traveling pulses (solitary waves) -- 8.4 Traveling wave trains -- 9. Homogeneous tissues with lateral inhibition and self- or local excitation -- 9.1 The model -- 9.2 Periodic spatial
patterns -- 9.3 Stability -- 9.4 Miscellaneous topics -- References -- List of symbols
ISBN:9783642455179
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Biomathematics: 35
Keywords: Medicine , Neurosciences , Biomathematics , Biomedicine , Neurosciences , Mathematical and Computational Biology
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Call number:SPRINGER-1980-9783540390534:ONLINE Show nearby items on shelf
Title:Physiological Optics
Author(s): Sami G. El Hage
Date:1980
Size:1 online resource (340 p.)
Note:10.1007/978-3-540-39053-4
Contents:1. Introduction -- 2. Description of the Human Eye -- 3. The Dimensions of the Eye -- 4. Optics of the Eye -- 5. The Retinal Image -- 6. Accommodation -- 7. Theories of Accommodation -- 8. Spherical Ametropia -- 9. Correction of
Ametropia -- 10. Spherical Corrective Lenses -- 11. Corneal Astigmatism -- 12. Vision of the Astigmatic -- 13. The Orbit and Its Muscles -- 14. Geometry of the Movements of the Eye -- 15. Correction of the Mobile Eye (Far Vision) --
16. Correction of the Mobile Eye (Near Vision — Astigmatic Eye) -- 17. Normal Binocular Movements -- 18. Anomalies of Binocular Movements -- 19. Corrective Lenses and Binocular Vision -- 20. Measurement of Visual Acuity -- 21.
Subjective Optometers -- 22. Ophthalmoscopes -- 23. Objective Measurement of Refraction -- Exercises -- Solutions to the Exercises -- References -- Author Index
ISBN:9783540390534
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Series in Optical Sciences: 13
Keywords: Physics , Neurosciences , Ophthalmology , Animal physiology , Optics , Electrodynamics , Physics , Optics and Electrodynamics , Neurosciences , Ophthalmology , Animal Physiology
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Call number:SPRINGER-1980-9783540382706:ONLINE Show nearby items on shelf
Title:Lasers in Photomedicine and Photobiology Proceedings of the European Physical Society, Quantum Electronics Division, Conference, Florence, Italy, September 3–6, 1979
Author(s):
Date:1980
Size:1 online resource (238 p.)
Note:10.1007/978-3-540-38270-6
Contents:I. General Introduction to Photomedicine and Photobiology -- Photomedicine: Potentials for Lasers. An Overview -- Common Misconceptions About Light -- Basic Photobiology and Open Problems -- Photobiology of Ultraviolet Radiation --
Light Induced Covalent Combination Between Furocoumarins and DNA. A Chemical Approach -- II. Photodynamic Therapy of Tumors -- The Molecular Biology of Photodynamic Action -- Photoradiation Therapy of Malignant Tumors Role of the Laser
-- Hematoporphyrin as a Sensitizer in Tumor Phototherapy: Effect of Medium Polarity on the Photosensitizing Efficiency and Role of the Administration Pathway on the Distribution in Normal and Tumor-Bearing Rats -- Spectroscopic
Properties of Human Skin and Photodestruction of Tumors -- Photodynamic Effect of Hematoporphyrin (HP) on Cells Cultivated in Vitro -- Laser Fluorescence Bronchoscopy for Early Lung Cancer Localization -- III. Photodermatology -- The
Future Prospects for Lasers in Dermatological Photobiology -- Will Lasers be Useful in Photodermatology? -- A Survey of the Acute Effects of UV Lasers on Human and Animal Skin -- Helium-Cadmium Laser (325 nm) Irradiation of Pigmented
and Unpigmented Mammalian Skin: Electron Microscopic Effects on Dermal Nerve Fibers -- The Application of Dye Lasers in Photodermatology -- Photorecovery in Human Skin -- IV. Phototherapy of Hyperbilirubinemia -- to the Mechanism of
Phototherapy of Jaundice and Related Technology -- Photoinduced Modification of Human Serum Albumin During Phototherapy of Jaundiced Newborns -- A Laser Flash Photolysis Study of Bilirubin -- V. Absorption and Fluorescence Spectroscopy
-- Laser Fluorescence Spectroscopy of Biomolecules -- Spectroscopic Properties of Quinacrine Mustard -- Optical-Microwave Double Resonance Spectroscopy of in Vivo Chlorophyll -- Evaluation of the Chromatin Functional State by Means of
Fluorescence Decay Time Analysis -- VI. Raman and Picosecond Spectroscopy -- Resonance-Raman Spectroscopy in Biological Problems: Use of Labels -- Enhanced Anti-Stokes Raman Scattering From Living Cells of “Chlorella Pyrenoidosa” --
Time Resolved Resonance Raman Scattering as a Probe of Hemoglobin Dynamics -- Direct and Reverse Photoreactions in Bacteriorhodopsin at Low Temperatures on Picosecond Time Scale -- Selective Action on Nucleic Acids Components by
Picosecond Light Pulses -- Laser Selective Photobiology: Dye-Biomolecule Complexes -- Picosecond Fluorometry of the Exciton Diffusion in Green Plant Antenna Chlorophyll -- Subpicosecond Photodissociation and Time Resolved Spectroscopy
of Recombination Processes in Carbonmonoxyhemoglobin -- Index of Contributors
ISBN:9783540382706
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Series in Optical Sciences: 22
Keywords: Physics , Neurosciences , Solid state physics , Spectroscopy , Microscopy , Biomedical engineering , Physics , Solid State Physics , Spectroscopy and Microscopy , Neurosciences , Biomedical Engineering
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Call number:SPRINGER-1979-9781468433968:ONLINE Show nearby items on shelf
Title:Central Regulation of the Endocrine System
Author(s):
Date:1979
Size:1 online resource (558 p.)
Note:10.1007/978-1-4684-3396-8
Contents:Opening address -- Session I. The Peptidergic Neuron -- Neuroendocrine regulation: The peptidergic neuron Introduction and historical background -- The biochemistry of peptidergic neurons -- Hypothalamic hormones regulating pituitary
(and other) functions: Their physiology and biochemistry as well as recent studies with their synthetic analogues -- Presynaptic mechanisms in peptidergic neurons -- Neurotransmitters and neuropeptides: Distribution patterns and
cellular localization as revealed by immuno-cytochemistry -- Activation of release and mechanism of release of neurohypophyseal hormones -- Studies on the release and degradation of hypothalamic releasing hormones by the hypothalamus
and other CNS areas in vitro -- Postsynaptic mechanisms in peptidergic transmission -- The role of GTP in the coupling of hormone receptors and adenylate cyclase -- Interactions between hypothalamic and peripheral hormones at the
anterior pituitary level -- Peptide and neurotransmitter receptors in the brain: Regulation by ions and guanyl nucleotides -- Neurophysiology of hypothalamic peptidergic neurons -- The opioid receptors and their ligands -- Session II.
Transmitter and Neuropeptide Synaptic Mechanisms -- Regulation of the ?-adrenergic receptor in the pineal gland and red cell membranes -- Cyclic nucleotide and protein phosphorylation mechanisms in the central nervous system --
Contrasting principles of synaptic physiology: Peptidergic and non-peptidergic neurons -- Regulation of neuropeptide release in rat brain -- Studies on interactions of epinephrine neuronal systems with other neuronal systems -- Effect
of peptides on brain monoamines and on gross behaviour -- Session III. Hormonal Control of Peptidergic Neurons -- Current approaches to steroid hormone-cell interactions -- Steroid hormone receptors in brain and pituitary -- Feedback
effects on central mechanisms controlling neuroendocrine functions -- Pituitary neuropeptides and behavior -- Sexual differentiating actions of steroids on the hypothalamopituitary-liver axis -- Session IV. Interactions Between
Hormones and Neurotransmitters in the Control of Peptidergic Neurons -- Neurotransmitters in the control of anterior pituitary function -- Neurotransmitter mechanisms in the control of the secretion of hormones from the anterior
pituitary -- Session V. Controls of Peptidergic Neurons in Humans -- Control of peptidergic neurons in humans. An introduction -- Studies of the role of dopamine in the control of prolactin and gonadotropin secretion in humans --
Neurotransmitter control of growth hormone and prolactin secretion -- Clinical neuroendocrine relationships in normal and disordered prolactin secretion -- Session VI. Reporters’ Overviews -- Role and regulation of neuropeptide neurons
-- Some principles of neuronal regulation at the postsynaptic level -- Reporter’s remarks -- Overview of Session IV: Interactions between hormones and neurotransmitters in the control of peptidergic neurons -- Discussion of clinical
neuroendocrinology section -- Participants
ISBN:9781468433968
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Published Nobel Symposia : 42
Keywords: Medicine , Neurosciences , Biomedicine , Neurosciences
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Call number:SPRINGER-1978-9783642930836:ONLINE Show nearby items on shelf
Title:Theoretical Approaches to Complex Systems Proceedings, Tübingen, June 11–12, 1977
Author(s):
Date:1978
Size:1 online resource (246 p.)
Note:10.1007/978-3-642-93083-6
Contents:Existence Criteria for Bifurcations as Stability Criteria for Critical Nonlinear Control Systems -- Asymptotic System Analysis and Goal Functions -- Strange Attractors in 3-Variable Reaction Systems -- Structures of Excitation and
Inhibition -- A new Approach to Synaptic Interactions -- Figure-Ground Discrimination by the Visual System of the Fly -- Evolution of the Adaptive Landscape -- Cell Assemblies in the Cerebral Cortex -- Excitatory and Inhibitory
Processes Giving Rise to the Delayed Response in the Retinal Ganglion Cell of the Frog -- On Constrained Transinformation Functions -- Self-Diagnosis of Interactive Systems
ISBN:9783642930836
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Biomathematics: 21
Keywords: Mathematics , Neurosciences , System theory , Neural networks (Computer science) , Mathematics , Mathematical Models of Cognitive Processes and Neural Networks , Complex Systems , Neurosciences
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