Theoretical Mechanics of Biological Neural Networks

1st Edition

Authors: Ronald MacGregor
Hardcover ISBN: 9780124642553
eBook ISBN: 9780080924410
Imprint: Academic Press
Published Date: 21st May 1993
Page Count: 377
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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 populations.
  • Presents the outlines of mechanics for multiple interacting networks in composite systems.

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

Details

No. of pages:
377
Language:
English
Copyright:
© Academic Press 1993
Published:
Imprint:
Academic Press
eBook ISBN:
9780080924410
Hardcover ISBN:
9780124642553

About the Author

Ronald MacGregor

Affiliations and Expertise

University of Colorado

Reviews

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.