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 ...
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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 tasks. In chapter 1 the motivations behind the emergence of the analog VLSI of massively parallel systems is discussed in detail together with the capabilities and !imitations of VLSI technologies and the required research and developments. Analog parallel signal processing drives for the development of very com pact, high speed and low power circuits. An important technologicallimitation in the reduction of the size of circuits and the improvement of the speed and power consumption performance is the device inaccuracies or device mismatch.
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Add this copy of Analog VLSI Integration of Massive Parallel Signal to cart. $159.69, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2010 by Springer-Verlag New York Inc..
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New. Print on demand Springer International Series in Engineering and Computer Science . XIII, 228 p. Intended for professional and scholarly audience.
Add this copy of Analog Vlsi Integration of Massive Parallel Signal to cart. $203.81, new condition, Sold by Media Smart rated 4.0 out of 5 stars, ships from Hawthorne, CA, UNITED STATES, published 2010 by Springer.
Add this copy of Analog Vlsi Integration of Massive Parallel Processing to cart. $166.99, very good condition, Sold by Alien Bindings rated 5.0 out of 5 stars, ships from BALTIMORE, MD, UNITED STATES, published 1996 by Springer.
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Very good. Ex research library book. The covers show light shelf wear. The binding is tight. The pages are clean and unmarked. Electronic delivery tracking will be issued free of charge. 244 pages. The Springer International Series in Engineering and Computer Science.
Add this copy of Analog Vlsi Integration of Massive Parallel Signal to cart. $241.44, new condition, Sold by Media Smart rated 4.0 out of 5 stars, ships from Hawthorne, CA, UNITED STATES, published 1996 by Springer.
