Neural-network Models Of Cognition: Biobehavioral Foundations

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This internationally authored volume presents major findings, concepts, and methods of behavioral neuroscience coordinated with their simulation via neural networks. A central theme is that biobehaviorally constrained simulations provide a rigorous means to explore the implications of relatively simple processes for the understanding of cognition (complex behavior). Neural networks are held to serve the same function for behavioral neuroscience as population genetics for evolutionary science. The volume is divided into six sections, each of which includes both experimental and simulation research: (1) neurodevelopment and genetic algorithms, (2) synaptic plasticity (LTP), (3) sensory/hippocampal systems, (4) motor systems, (5) plasticity in large neural systems (reinforcement learning), and (6) neural imaging and language. The volume also includes an integrated reference section and a comprehensive index.

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NEURAL-NETWORK MODELS OF COGNITION Biobehavioral Foundations ADVANCES IN PSYCHOLOGY 121 Editors." G. E. STELMACH R A. VROON ELSEVIER Amsterdam - Lausanne - New York -Oxford - Shannon -Tokyo NEURAL-NETWORK MODELS OF COGNITION Biobehavioral Foundations edited by John W. DONAHOE and Vivian PACKARD DORSEL Department of Psychology Neuroscience and Behavior Program University of Massachusetts, Amherst, U.S.A. 1997 ELSEVIER Amsterdam - Lausanne - New York - Oxford - Shannon - Tokyo NORTH-HOLLAND ELSEVIER SCIENCE B.V. Sara Burgerhartstraat 25 P.O. Box 211, 1000 AE Amsterdam, The Netherlands ISBN: 0 444 81931 2 9 1997 Elsevier Science B.V. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without the prior written permission of the publisher, Elsevier Science B.V., Copyright & Permissions Department, P.O. Box 521, 1000 AM Amsterdam, The Netherlands. Special regulations for readers in the U.S.A. - This publication has been registered with the Copyright Clearance Center Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923. Information can be obtained from the CCC about conditions under which photocopies of parts of this publication may be made in the U.S.A. All other copyright questions, including photocopying outside of the U.S.A., should be referred to the copyright owner, Elsevier Science B.V., unless otherwise specified. No responsibility is assumed by the publisher for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or from any use or operation of any methods, products, instructions or ideas contained in the material herein. pp. 22-36, 105-128, 142-159,244-262: Copyright not transferred This book is printed on acid-free paper. Printed in The Netherlands ACKNOWLEDGMENTS The editors wish to express their appreciation to Professors Neil R. Carlson and Jerrold S. Meyer for informal consultations about various aspects of this project and to Alana Perocchi for assistance in the preparation of the bibliography. Finally, the editors thank Professors George E. Stelmach and Peter R. Killeen, both of Arizona State University, for their roles in initiating this project. This book was set in Times PC type Using WordStar version 7.0 and a Hewlett-Packard LaserJet IIIP printer. This Page Intentionally Left Blank vii LIST OF CONTENTS Acknowledgments List of Contents vii List of Contributors xi Chapter 1 The necessity of neural networks John W. Donahoe Part One Network Architecture and Neuroanatomy 20 Chapter 2 Progenitor