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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Modeling Brain Function : The World of Attractor Neural Networks
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ISBN 10: 0521361001
ISBN 13: 9780521361002
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Modeling Brain Function: The World of Attractor Neural Networks
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ISBN 13: 9780521361002
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Modeling Brain Function: The World of Attractor Neural Networks
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Modeling Brain Function : The World of Attractor Neural Networks
Published by
Cambridge University Press, 1989
ISBN 10: 0521361001
ISBN 13: 9780521361002
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Modeling Brain Function: The World of Attractor Neural Networks
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Cambridge University Press, 1989
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ISBN 13: 9780521361002
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Modeling Brain Function: The World of Attractor Neural Networks
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ISBN 10: 0521361001
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Modeling Brain Function: The World of Attractor Neural Networks
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Modeling Brain Function: The World of Attractor Neural Networks
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ISBN 10: 0521361001
ISBN 13: 9780521361002
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Modeling Brain Function: The World of Attractor Neural Networks
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ISBN 13: 9780521361002
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Modeling Brain Function: The Worldof Attractor Neural Networks
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Cambridge University Press, United Kingdom, 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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