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

Amit, Daniel J.

Softcover

ISBN 10: 0521421241 ISBN 13: 9780521421249

Publisher: Cambridge University Press, 1992

Synopsis

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.

About this title

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.

Edition details

• Publisher: Cambridge University Press
• Publication date: 1992
• Language: English
• ISBN 10: 0521421241
• ISBN 13: 9780521421249
• Binding: Paperback
• Number of pages: 524