The Handbook of Brain Theory and Neural Networks

Dramatically updating and extending the first edition, published in 1995, the second edition of The Handbook of Brain Theory and Neural Networks presents the enormous progress made in recent years in the many subfields related to the two great questions: How does the brain work? and, How can we build intelligent machines?Once again, the heart of the book is a set of almost 300 articles covering the whole spectrum of topics in brain theory and neural networks. The first two parts of the book, prepared by Michael Arbib, are designed to help readers orient themselves in this wealth of material. Part I provides general background on brain modeling and on both biological and artificial neural networks. Part II consists of "Road Maps" to help readers steer through articles in part III on specific topics of interest. The articles in part III are written so as to be accessible to readers of diverse backgrounds. They are cross-referenced and provide lists of pointers to Road Maps, background material, and related reading.The second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. It contains 287 articles, compared to the 266 in the first edition. Articles on topics from the first edition have been updated by the original authors or written anew by new authors, and there are 106 articles on new topics.

ISBN 0262011972   Volumes 1 ISBN13 9780262011976 (What's this?)   Weight (grammes) 2928 Publisher MIT Press Ltd   Published in Cambridge, Mass. Imprint MIT Press   Series title Bradford Books Format Hardback   Previous ISBN 9780262011488 Publication date 03 Jan 2003   Height (mm) 280 Library of Congress 02038664   Width (mm) 216 DEWEY 612.82   Spine width (mm) 57 DEWEY edition DC21   Academic level Undergraduate, Postgraduate, Professional / Scholarly Pages 1308

Pt. I		Background: The Elements of Brain Theory and Neural Networks		1
		Introducing the Neuron		3
		Levels and Styles of Analysis		10
		Dynamics and Adaptation in Neural Networks		15
Pt. II		Road Maps: A Guided Tour of Brain Theory and Neural Networks		25
		The Meta-Map		27
		Grounding Models of Neurons and Networks		29
		Brain, Behavior, and Cognition		31
		Psychology, Linguistics, and Artificial Intelligence		40
		Biological Neurons and Networks		47
		Dynamics and Learning in Artificial Networks		55
		Sensory Systems		65
		Motor Systems		71
		Applications, Implementations, and Analysis		77
Pt. III		Articles		81
		Action Monitoring and Forward Control of Movements		83
		Activity-Dependent Regulation of Neuronal Conductances		85
		Adaptive Resonance Theory		87
		Adaptive Spike Coding		90
		Amplification, Attenuation, and Integration		94
		Analog Neural Nets: Computational Power		97
		Analog VLSI Implementations of Neural Networks		101
		Analogy-Based Reasoning and Metaphor		106
		Arm and Hand Movement Control		110
		Artificial Intelligence and Neural Networks		113
		Associative Networks		117
		Auditory Cortex		122
		Auditory Periphery and Cochlear Nucleus		127
		More...

"This revised *Handbook of Brain Theory* provides useful new data and and updates key concepts in neuroscience. It will be an indispensable guide for exploring the essentials of brain science."--Masao Ito, RIKEN Brain Science InstitutePlease note: This quote is for promotional materials only, not for the book jacket.

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