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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.
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Présentation de l'éditeur
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.
Revue de presse
"...of interest to those following the neural net field...takes off from discoveries that link areas of physics with the emerging neural network paradigm." Intelligence Monthly
"...regard this book as an opening of a discussion--undoubtedly a very qualified one." Journal of Mathematical Psychology
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Modeling Brain Function: The World of Attractor Neural Networks
Edité par
Cambridge University Press, 1989
ISBN 10 : 0521361001
ISBN 13 : 9780521361002
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Etat : Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:9780521361002. N° de réf. du vendeur 8249839
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Modeling Brain Function: The World of Attractor Neural Networks
Edité par
Cambridge University Press, 1989
ISBN 10 : 0521361001
ISBN 13 : 9780521361002
Ancien ou d'occasion
Couverture rigide
Vendeur : Wonder Book, Frederick, MD, Etats-Unis
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Etat : Good. Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains. N° de réf. du vendeur Z11A-03801
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Modeling Brain Function : The World of Attractor Neural Networks
Edité par
Cambridge University Press, 1989
ISBN 10 : 0521361001
ISBN 13 : 9780521361002
Ancien ou d'occasion
Couverture rigide
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Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
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Etat : Good. First edition. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages. N° de réf. du vendeur GRP16272238
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Modeling Brain Function: The World of Attractor Neural Networks
Edité par
Cambridge University Press, 1989
ISBN 10 : 0521361001
ISBN 13 : 9780521361002
Ancien ou d'occasion
Couverture rigide
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Etat : Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. N° de réf. du vendeur Z1-U-017-02127
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Modeling Brain Function: The World of Attractor Neural Networks
Edité par
Cambridge University Press, 1989
ISBN 10 : 0521361001
ISBN 13 : 9780521361002
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Vendeur : Books From California, Simi Valley, CA, Etats-Unis
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Paperback. Etat : Good. Ex library copy with usual markings. N° de réf. du vendeur mon0002870844
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Modeling Brain Function: The World of Attractor Neural Networks
Edité par
Cambridge University Press, 1989
ISBN 10 : 0521361001
ISBN 13 : 9780521361002
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Vendeur : BookDepart, Shepherdstown, WV, Etats-Unis
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Hardcover. Etat : UsedVery Good. Hardcover; light fading, light shelf wear to exterior; former owner's name written inside front board; otherwise contents in very good condition with clean text, firm binding. N° de réf. du vendeur 37022
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Modeling Brain Function
Edité par
Cambridge University Press, 1989
ISBN 10 : 0521361001
ISBN 13 : 9780521361002
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Vendeur : Buchpark, Trebbin, Allemagne
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Etat : Gut. Zustand: Gut | Seiten: 528 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 25465121/203
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Modeling Brain Function: The World of Attractor Neural Networks
Edité par
Cambridge University Press, 1989
ISBN 10 : 0521361001
ISBN 13 : 9780521361002
Ancien ou d'occasion
Couverture rigide
Vendeur : Zoom Books East, Glendale Heights, IL, Etats-Unis
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Etat : good. Book is in good condition and may include underlining highlighting and minimal wear. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service. N° de réf. du vendeur ZEV.0521361001.G
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Modeling Brain Function: The World of Attractor Neural Networks
Edité par
Cambridge University Press, 1989
ISBN 10 : 0521361001
ISBN 13 : 9780521361002
Ancien ou d'occasion
Couverture rigide
Vendeur : Solr Books, Lincolnwood, IL, Etats-Unis
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Etat : very_good. This books is in Very good condition. There may be a few flaws like shelf wear and some light wear. N° de réf. du vendeur BCV.0521361001.VG
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Modeling Brain Function: The Worldof Attractor Neural Networks
Edité par
Cambridge University Press, United Kingdom, 1989
ISBN 10 : 0521361001
ISBN 13 : 9780521361002
Ancien ou d'occasion
Couverture rigide
Vendeur : Henry Pordes Books Ltd, London, Royaume-Uni
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Hardcover. Etat : 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. N° de réf. du vendeur 036312
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