| 書目名稱 | Models of Neural Networks I |
| 編輯 | Eytan Domany,J. Leo Hemmen,Klaus Schulten |
| 視頻video | http://file.papertrans.cn/637/636828/636828.mp4 |
| 叢書名稱 | Physics of Neural Networks |
| 圖書封面 |  |
| 描述 | One of the great intellectual challenges for the next few decades is the question of brain organization. What is the basic mechanism for storage of memory? What are the processes that serve as the interphase between the basically chemical processes of the body and the very specific and nonstatistical operations in the brain? Above all, how is concept formation achieved in the human brain? I wonder whether the spirit of the physics that will be involved in these studies will not be akin to that which moved the founders of the "rational foundation of thermodynamics". C. N. Yang! 10 The human brain is said to have roughly 10 neurons connected through about 14 10 synapses. Each neuron is itself a complex device which compares and integrates incoming electrical signals and relays a nonlinear response to other neurons. The brain certainly exceeds in complexity any system which physicists have studied in the past. Nevertheless, there do exist many analogies of the brain to simpler physical systems. We have witnessed during the last decade some surprising contributions of physics to the study of the brain. The most significant parallel between biological brains and many physical systems is |
| 出版日期 | Textbook 1995Latest edition |
| 關鍵詞 | Hirnforschung; Mustererkennung; Nervennetz; Neuron; algorithms; artificial intelligence; brain research; kü |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-3-642-79814-6 |
| isbn_softcover | 978-3-642-79816-0 |
| isbn_ebook | 978-3-642-79814-6Series ISSN 0939-3145 |
| issn_series | 0939-3145 |
| copyright | Springer-Verlag Berlin Heidelberg 1995 |
|Archiver|手機版|小黑屋|
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