Modeling Brain Function - The World of Attractor Neural Networks (Paperback, New Ed)

One of the most exciting and potentially rewarding areas of scientific research is the study of the principles and mechanisms underlying brain function. It is also of great promise to future generations of computers. A growing group of researchers, adapting knowledge and techniques from a wide range of scientific disciplines, have made substantial progress understanding memory, the learning process, and self organization by studying the properties of models of neural networks - idealized systems containing very large numbers of connected neurons, whose interactions give rise to the special qualities of the brain. This book introduces and explains the techniques brought from physics to the study of neural networks and the insights they have stimulated. It is written at a level accessible to the wide range of researchers working on these problems - statistical physicists, biologists, computer scientists, computer technologists and cognitive psychologists. The author presents a coherent and clear nonmechanical presentation of all the basic ideas and results. More technical aspects are restricted, wherever possible, to special sections and appendices in each chapter. The book is suitable as a text for graduate courses in physics, electrical engineering, computer science and biology.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	June 1992
First published:	1989
Authors:	Daniel J. Amit
Dimensions:	229 x 152 x 28mm (L x W x T)
Format:	Paperback - Trade
Pages:	524
Edition:	New Ed
ISBN-13:	978-0-521-42124-9
Categories:	Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	0-521-42124-1
Barcode:	9780521421249

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