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Physics and Mathematics of the Nervous System

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Cover of 'Physics and Mathematics of the Nervous System'

Table of Contents

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    Book Overview
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    Chapter 1 Catastrophe Geometry in Physics and Biology
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    Chapter 2 Some Limitations Affecting Physics and Mathematics as Applied to Biology and Especially to the Nervous System
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    Chapter 3 An Integral Physico-Chemical Model for Bioexcitability
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    Chapter 4 Molecular Information Processing in the Central Nervous System
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    Chapter 5 Molecular Information Processing in the Central Nervous System
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    Chapter 6 Discrete and Continuous Processes in Computers and Brains
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    Chapter 7 Postsynaptic Cell Characteristics Determining Membrane Potential Changes
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    Chapter 8 Limitations to Single-Photon Sensitivity in Vision
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    Chapter 9 Visual Sensitivity
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    Chapter 10 Detection of Form and Pattern by Retinal Neurones
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    Chapter 11 Auditory Processing in the Nervous System
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    Chapter 12 Neural Networks and the Brain
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    Chapter 13 Cerebellar Morphology and Physiology: Introductory Remarks
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    Chapter 14 Can Neurons Develop Responses to Objects?
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    Chapter 15 On the Representation of Objects and Their Relations in the Brain
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    Chapter 16 Report on the Discussion Group on “Living Neural Nets”
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    Chapter 17 Complexity of Automata, Brains, and Behavior
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    Chapter 18 Model Neuron Based on the Josephson Effect
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    Chapter 19 Adequate Locomotion Strategies for an Abstract Organism in an Abstract Environment — A Relational Approach to Brain Function
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    Chapter 20 The Artificial Intelligence/Psychology Approach to the Study of the Brain and Nervous System
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    Chapter 21 Cellular Automata
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    Chapter 22 On Turing Machines with Modifications
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    Chapter 23 Chemical Automata in Homogeneous and Reaction-Diffusion Kinetics
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    Chapter 24 Molecular Automata
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    Chapter 25 Structural and Dynamical Redundancy
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    Chapter 26 Modifiable Automata with Tolerance A Model of Learning
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    Chapter 27 Redundancy and Perception
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    Chapter 28 Sensory Coding and Economy of Nerve Impulses
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    Chapter 29 An Algorithmic Approach to Information Theory
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    Chapter 30 Information Theory and Learning in Biology Summary of the Workgroup Sessions
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    Chapter 31 Mathematical Models and Bifurcation Theory in Biology
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    Chapter 32 Biochemical Kinetics
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    Chapter 33 Geometrical Aspects of the Pseudo Steady State Hypothesis in Enzyme Reactions
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    Chapter 34 A Synthetic Approach to Exotic Kinetics (With Examples)
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    Chapter 35 Concluding Remarks
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Title
Physics and Mathematics of the Nervous System
Published by
Springer Berlin Heidelberg, March 2013
DOI 10.1007/978-3-642-80885-2
ISBNs
978-3-54-007014-6, 978-3-64-280885-2
Editors

Conrad, Michael, Güttinger, Werner, Cin, Mario

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Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 100%