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Modeling Brain Function: The World of Attractor Neural Networks - Hardcover

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9780521361002: Modeling Brain Function: The World of Attractor Neural Networks

Synopsis

Exploring one of the most exciting and potentially rewarding areas of scientific research, the study of the principles and mechanisms underlying brain function, this book introduces and explains the techniques brought from physics to the study of neural networks and the insights they have stimulated. Substantial progress in understanding memory, the learning process, and self-organization by studying the properties of models of neural networks have resulted in discoveries of important parallels between the properties of statistical, nonlinear cooperative systems in physics and neural networks. The author presents a coherent and clear, nontechnical view of all the basic ideas and results. More technical aspects are restricted to special sections and appendices in each chapter.

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Book Description

Substantial progress in understanding memory, the learning process, and self-organization by studying the properties of models of neural networks have resulted in discoveries of important parallels between the properties of statistical, nonlinear cooperative systems in physics and neural networks.

From the Back Cover

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.

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  • PublisherCambridge University Press
  • Publication date1989
  • ISBN 10 0521361001
  • ISBN 13 9780521361002
  • BindingHardcover
  • LanguageEnglish
  • Edition number1
  • Number of pages528
  • Rating
    • 4.83 out of 5 stars
      6 ratings by Goodreads

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9780521421249: Modeling Brain Function: The World of Attractor Neural Networks

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ISBN 10:  0521421241 ISBN 13:  9780521421249
Publisher: Cambridge University Press, 1992
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Amit, Daniel J.
Published by Cambridge University Press, 1989
ISBN 10: 0521361001 ISBN 13: 9780521361002
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Hardcover. Condition: Very Good. 8vo. Hardcover. Pp. 504. Very good condition, some mild shelf-wear but pages are unmarked and crisp. One of the most exciting and rewarding studies in its respective field, this book introduces and explains the techniques brought from physics to the study of neural networks. Accessibly written and synthesizing a wide breadth of research - from physicists, scientists, computer technicians - the author presents a coherent presentation of basic ideas regarding the mechanisms of the human brain. Daniel Amit is a professor at the Racah Institute of Physics, Jerusalem. Since 1983, he has made neural networks his central subject of investigation. He is the Honorary Editor of the interdisciplinary journal NETWORK. Seller Inventory # 036312

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