Handbook of Brain Theory and Neural Networks

Arbib, Michael A.

ISBN 10: 0262011484 / ISBN 13: 9780262011488

Published by The MIT Press, 1995

About this Item

Very Good. SHIPS FROM MULTIPLE LOCATIONS.

Seller Inventory # D8S0-3-M-0262011484-3

Bibliographic Details

• Title: Handbook of Brain Theory and Neural Networks
• Publisher: The MIT Press
• Publication Date: 1995
• Language: English
• ISBN 10: 0262011484
• ISBN 13: 9780262011488
• Binding: Hardcover
• Condition: Very Good
• Book Type: book

About this title

Synopsis

PREFACE TABLE OF CONTENTS HOW TO USE THIS BOOK CONTRIBUTORS

In hundreds of articles by experts from around the world, and in overviews and "road maps" prepared by the editor, The Handbook of Brain Theory and Neural Networks charts the immense progress made in recent years in many specific areas related to two great questions: How does the brain work? and How can we build intelligent machines? While many books have appeared on limited aspects of one subfield or another of brain theory and neural networks, the Handbook covers the entire sweep of topics -- from detailed models of single neurons, analyses of a wide variety of biological neural networks, and connectionist studies of psychology and language, to mathematical analyses of a variety of abstract neural networks, and technological applications of adaptive, artificial neural networks. The excitement, and the frustration, of these topics is that they span such a broad range of disciplines including mathematics, statistical physics and chemistry, neurology and neurobiology, and computer science and electrical engineering as well as cognitive psychology, artificial intelligence, and philosophy. Thus, much effort has gone into making the Handbook accessible to readers with varied backgrounds while still providing a clear view of much of the recent, specialized research in specific topics. The heart of the book, part III, comprises of 267 original articles by leaders in the various fields, arranged alphabetically by title. Parts I and II, written by the editor, are designed to help readers orient themselves to this vast range of material. Part I, Background, introduces several basic neural models, explains how the present study of brain theory and neural networks integrates brain theory, artificial intelligence, and cognitive psychology, and provides a tutorial on the concepts essential for understanding neural networks as dynamic, adaptive systems. Part II, Road Maps, provides entry into the many articles of part III through an introductory "Meta-Map" and twenty-three road maps, each of which tours all the Part III articles on the chosen theme. Editorial Advisory Board George Adelman Shun-Ichi Amari James Anderson John Barnden Andrew Barto Fraçoise Fogelman Stephen Grossberg Keith Jenkins John Hertz Marc Jeannerod Mitsuo Kawato Christof Koch Eve Marder James L. McClelland Terrence J. Sejnowski Harold Szu Gerard Toulouse Christof von der Malsburg Bernard Widrow

About the Author

Michael A. Arbib is Professor of Computer Science and Neuroscience, and Director of the Center for Neural Engineering, at the University of Southern California.