| 000 | 02510nam a22003498i 4500 | ||
|---|---|---|---|
| 001 | CR9780511623257 | ||
| 003 | UkCbUP | ||
| 005 | 20200124160306.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 090916s1989||||enk o ||1 0|eng|d | ||
| 020 | _a9780511623257 (ebook) | ||
| 020 | _z9780521361002 (hardback) | ||
| 020 | _z9780521421249 (paperback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
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| 050 | 0 | 0 |
_aQP376 _b.A427 1989 |
| 082 | 0 | 0 |
_a591.1/88 _220 |
| 100 | 1 |
_aAmit, D. J., _d1938- _eauthor. |
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| 245 | 1 | 0 |
_aModeling brain function : _bthe world of attractor neural networks / _cDaniel J. Amit. |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c1989. |
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| 300 |
_a1 online resource (xvii, 504 pages) : _bdigital, PDF file(s). |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 500 | _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). | ||
| 520 | _aOne 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. | ||
| 650 | 0 |
_aBrain _xComputer simulation. |
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| 650 | 0 | _aNeural networks (Neurobiology) | |
| 650 | 0 | _aNeural computers. | |
| 776 | 0 | 8 |
_iPrint version: _z9780521361002 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1017/CBO9780511623257 |
| 999 |
_c520758 _d520756 |
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