Neurobiology of Neural Networks

Neurobiology of Neural Networks

by Daniel Gardner
     
 

ISBN-10: 0262071509

ISBN-13: 9780262071505

Pub. Date: 08/02/1993

Publisher: MIT Press

This timely overview and synthesis of recent work in both artificial neural networks and neurobiology seeks to examine neurobiological data from a network perspective and to encourage neuroscientists to participate in constructing the next generation of neural networks. Individual chapters were commissioned from selected authors to bridge the gap between

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Overview

This timely overview and synthesis of recent work in both artificial neural networks and neurobiology seeks to examine neurobiological data from a network perspective and to encourage neuroscientists to participate in constructing the next generation of neural networks. Individual chapters were commissioned from selected authors to bridge the gap between present neural network models and the needs of neurophysiologists who are trying to use these models as part of their research on how the brain works.

Product Details

ISBN-13:
9780262071505
Publisher:
MIT Press
Publication date:
08/02/1993
Series:
Computational Neuroscience Series
Pages:
241
Product dimensions:
7.10(w) x (h) x 0.80(d)

Table of Contents

Contributors
Preface
1Introduction: Toward Neural Neural Networks1
2Two Principles of Brain Organization: a Challenge for Artificial Neural Networks13
3Static Determinants of Synaptic Strength21
4Learning Rules from Neurobiology71
5Realistic Network Models of Distributed Processing in the Leech107
6Neural and Peripheral Dynamics as Determinants of Patterned Motor Behavior137
7Dynamic Neural Network Models of Sensorimotor Behavior165
References191
Index219

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