Neuroscience and Connectionist Theory

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ISBN: 9780805806199 | 0805806199
Cover: Nonspecific Binding
Copyright: 2/1/1990

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Written for cognitive scientists, psychologists, computer scientists, engineers, and neuroscientists, this book provides an accessible overview of how computational network models are being used to model neurobiological phenomena. Each chapter presents a representative example of how biological data and network models interact with the authors' research. The biological phenomena cover network- or circuit-level phenomena in humans and other higher-order vertebrates.

List of Contributors	p. vii
Series Foreword	p. ix
Preface	p. xi
Hebb-Marr Networks and the Neurobiological Representation of Action in Space	p. 1
References	p. 60
Molecular Mechanisms for Synaptic Modification in the Visual Cortex: Interaction Between Theory and Experiment	p. 65
Introduction	p. 65
Concluding Remarks	p. 89
References	p. 91
Memorial Operation of Multiple, Interacting Simulated Brain Structures	p. 95
Introduction	p. 95
Acknowledgments	p. 127
References	p. 128
Adaptive Signal Processing and the Cerebellum: Models of Classical Conditioning and Vor Adaptation	p. 131
Introduction	p. 131
Acknowledgments	p. 179
References	p. 180
Elemental Adaptive Processes of Neurons and Synapses: A Statistical/Computational Perspective	p. 187
Introduction1	p. 187
Concluding Thoughts	p. 230
References	p. 231
I Thought I Saw It Move: Computing Optical Flow in the Primate Visual System	p. 237
References	p. 262
Correlation-Based Models of Neural Development	p. 267
Formulation of the Model Equations	p. 339
the Characteristic Patterns of Ocular Dominance	p. 342
References	p. 344
Modeling Cortical Computation with Backpropagation	p. 355
References	p. 382
Author Index	p. 385
Subject Index	p. 395
Table of Contents provided by Publisher. All Rights Reserved.

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Neuroscience and Connectionist Theory

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