期刊全称 | Analog VLSI Integration of Massive Parallel Signal Processing Systems | 影响因子2023 | Peter Kinget,Michiel Steyaert | 视频video | http://file.papertrans.cn/156/155865/155865.mp4 | 学科分类 | The Springer International Series in Engineering and Computer Science | 图书封面 |  | 影响因子 | When comparing conventional computing architectures to the architectures of biological neural systems, we find several striking differences. Conventional computers use a low number of high performance computing elements that are programmed with algorithms to perform tasks in a time sequenced way; they are very successful in administrative applications, in scientific simulations, and in certain signal processing applications. However, the biological systems still significantly outperform conventional computers in perception tasks, sensory data processing and motory control. Biological systems use a completely dif ferent computing paradigm: a massive network of simple processors that are (adaptively) interconnected and operate in parallel. Exactly this massively parallel processing seems the key aspect to their success. On the other hand the development of VLSI technologies provide us with technological means to implement very complicated systems on a silicon die. Especially analog VLSI circuits in standard digital technologies open the way for the implement at ion of massively parallel analog signal processing systems for sensory signal processing applications and for perception ta | Pindex | Book 1997 |
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