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Theoretical Mechanics of Biological Neural Networks

  • 1st Edition - May 21, 1993
  • Latest edition
  • Author: Ronald J. MacGregor
  • Language: English

Theoretical Mechanics of Biological Neural Networks presents an extensive and coherent discusson and formulation of the generation and integration of neuroelectric signals in sin… Read more

Description

Theoretical Mechanics of Biological Neural Networks presents an extensive and coherent discusson and formulation of the generation and integration of neuroelectric signals in single neurons. The approach relates computer simulation programs for neurons of arbitrary complexity to fundamental gating processes of transmembrance ionic fluxes of synapses of excitable membranes. Listings of representative computer programs simulating arbitrary neurons, and local and composite neural networks are included.

Key features

  • Develops a theory of dynamic similarity for characterising the firing rate sensitivites of neurons in terms of their characteristic anatomical and physiological parameters
  • Presents the sequential configuration theory - a theoretical presentation of coordinated firing patterns in entire neural population
  • Presents the outlines of mechanics for multiple interacting networks in composite systems

Readership

Researchers in neural networks/computational neuroscience, bioengineering, artificial intelligence, computer science, and cognitive science.

Table of contents

Preface

I. Theoretical Mechanics of Neuroelectric Signalling.

II. Dynamic Similarity Theory of Neuronal Firing.

III. Coordinated Dynamic Firing Patterns in Local Networks.

IV. Theoretical Mechanics of Composite Neural Networks.

Afterward

Appendix

Index

Product details

  • Edition: 1
  • Latest edition
  • Published: December 2, 2012
  • Language: English

About the author

RM

Ronald J. MacGregor

Affiliations and expertise
University of Colorado

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