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Synopsis
This is a presentation of research and theory from the disciplines that provide the foundations of neural network research: neurobiology, physics, computer science, electrical engineering, mathematics and psychology. It shows how neural networks and neurocomputing represent radical departures from conventional approaches to digital computers, in terms of algorithms as well as architecture. More than 200 line drawings illustrate the many facets of and approaches to neural networks research. This second edition contains new chapters on computational models of hippocampal and cerebellar function, nonlinear information processing, adaptive filtering and pattern recognition, and digital VLSI architecture. Its interdisciplinary emphasis is aimed at a wide array of researchers and students - from neurobiologists to psychologists.
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Review
AThis book is good value, especially in paperback form, and will be of particular interest to those interested in both neurobiology and in the technological applications and implementations of neural computation."NETWORK "This volume is a collection of papers on neural networkd (real and artificial) edited by staff members of the Office of Naval Research (ONR). ONR has been a major supporter of research in this area for many years and the editors have directly overseen some of the work described in this book, making them especially qualified to organize this collection. The chapters themselves are authored by talented individuals in neuroscience, engineering, physics, psychology, computer science and mathematics, making the books genuinely multidisciplinary in nature... This collection of papers does provide a good intermediate-level introduction to many important research topics in neuroscience and engineering, and would be quite useful to individuals interested in those areas."SIGART BULLETIN
About the Author
Edited by Steven F. Zornetzer, Clifford Lau, Thomas M. McKenna and Joel L. Davis
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An Introduction to Neural and Electronic Networks
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