The Handbook of Brain Theory and Neural Networks

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Michael A. Arbib
Mit Press, 1998 - Computers - 1118 pages
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Choice Outstanding Academic Title, 1996.

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 great questions: How does the brain work? How can we build intelligent machines?

While many books discuss 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.

Expository material makes the book accessible to readers with varied backgrounds while still offering a clear view of the recent, specialized research on specific topics.

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About the author (1998)

Michael A. Arbib is University Professor; Fletcher Jones Professor of Computer Science; and Professor of Neuroscience, Biomedical Engineering, Electrical Engineering, and Psychology at the University of Southern California.

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