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Neural computation in analog VLSI

Mead, Carver (1989) Neural computation in analog VLSI. In: Twenty-Third Asilomar Conference on Signals, Systems and Computers. Vol.1. Maple Press , San Jose, CA, p. 1. http://resolver.caltech.edu/CaltechAUTHORS:20150120-164428118

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Abstract

Neural systems found in the brains of even very simple animals are amazingly effective at performing computations on information arising in the natural world. Neural structures expend less than a millionth of the power required by our most advanced digital signal processing technology for a similar task. At the level of a single device, however, our silicon technology can much more closely approach the energy requirements of structures in the brain. The nervous system achieves its remarkable effectiveness by using the fundamental device physics to define its computational primitives. In addition, algorithmic structures that emphasize spatial locality make best use of limited wiring resources. A deeper understanding of the design approach used by neural systems may make possible a new, and very powerful, engineering discipline.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/ACSSC.1989.1200737DOIAbstract
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1200737PublisherAbstract
Additional Information:© 1989 Maple Press.
Record Number:CaltechAUTHORS:20150120-164428118
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20150120-164428118
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:53906
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:21 Jan 2015 00:59
Last Modified:21 Jan 2015 00:59

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