Modeling Brain Function

Name: Modeling Brain Function
Brand: Cambridge University Press
SKU: 9780521421249
Price: 391.01 PLN
Availability: InStock

The World of Attractor Neural Networks

Autor: Daniel J. Amit

Język:

Oprawa: Miękka

Wydawca: Cambridge University Press

Dostępność: Dostępna u dostawcy

Wysyłamy za 10-18 dni

391.01 zł

One of the most exciting and potentially rewarding areas of scientific research is the study of the...

Informacje o książce

Autor

Daniel J. Amit

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

1992

strony

524

EAN

9780521421249

ISBN

0521421241

Enbook ID

02030320

Wydawca

Cambridge University Press

Waga

820

Wymiary

167 x 232 x 33

Pełny opis

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.

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Modeling Brain Function

The World of Attractor Neural Networks

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