| 书目名称 | Silicon Implementation of Pulse Coded Neural Networks |
| 编辑 | Mona E. Zaghloul,Jack L. Meador,Robert W. Newcomb |
| 视频video | |
| 丛书名称 | The Springer International Series in Engineering and Computer Science |
| 图书封面 |  |
| 描述 | When confronted with the hows and whys of nature‘s computational engines, some prefer to focus upon neural function: addressing issues of neural system behavior and its relation to natural intelligence. Then there are those who prefer the study of the "mechanics" of neural systems: the nuts and bolts of the "wetware": the neurons and synapses. Those who investigate pulse coded implementations ofartificial neural networks know what it means to stand at the boundary which lies between these two worlds: not just asking why natural neural systems behave as they do, but also how they achieve their marvelous feats. The research results presented in this book not only address more conventional abstract notions of neural-like processing, but also the more specific details ofneural-like processors. It has been established for some time that natural neural systems perform a great deal of information processing via electrochemical pulses. Accordingly, pulse coded neural network concepts are receiving increased attention in artificial neural network research. This increased interest is compounded by continuing advances in the field of VLSI circuit design. This is the first time in history in w |
| 出版日期 | Book 1994 |
| 关键词 | CMOS; Modulation; VLSI; complexity; information; integrated circuit; static-induction transistor |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4615-2680-3 |
| isbn_softcover | 978-1-4613-6152-7 |
| isbn_ebook | 978-1-4615-2680-3Series ISSN 0893-3405 |
| issn_series | 0893-3405 |
| copyright | Kluwer Academic Publishers 1994 |
发表于 2025-3-21 16:22:10
