MIT Press.Handbook of Brain Theory and Neural Networks
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Product Details
Hardcover: 1344 pages
Publisher: The MIT Press; 2 edition (November 15, 2002)
Language: English
ISBN-10: 0262011972
ISBN-13: 978-0262011976
Product Dimensions:
11.1 x 8.6 x 2.2 inches
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.
