Modeling brain function (Record no. 73785)

000 -LEADER
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0521421241
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Cutter Ami
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Amit, Daniel J.
245 ## - TITLE STATEMENT
Title Modeling brain function
Remainder of title : The world of attractor neural networks
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Cambridge
Name of publisher, distributor, etc Cambridge University Press
Date of publication, distribution, etc 1989
300 ## - PHYSICAL DESCRIPTION
Number of Pages xviii;504p.
Other physical details pb
Dimensions 23x16cm
350 ## - PRICE (NR) (BK AM CF MU VM SE) [OBSOLETE]
Price 35
365 ## - TRADE PRICE
Price amount 2184
520 ## - Remark
Summary, etc 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.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent location Current location Shelving location Date acquired Full call number Barcode Date last seen Date last borrowed Koha item type
          Book HBCSE HBCSE Computer 2014-05-20 006.3 / Ami 17618 2019-06-13 2019-06-12 Book

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