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An introduction to silicon neural analogs

Mahowald, M. A. and Douglas, R. J. and LeMoncheck, J. E. and Mead, C. A. (1992) An introduction to silicon neural analogs. Seminars in the neurosciences, 4 (1). pp. 83-92. ISSN 1044-5765. doi:10.1016/1044-5765(92)90036-2. https://resolver.caltech.edu/CaltechAUTHORS:20150915-135808440

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Abstract

Synthetic neural systems that operate in real time have been fabricated using analog complementary metal-oxide- semiconductor (CMOS) very large scale integration (VLSI) technology. The analog silicon system surpasses the computational power of a general-purpose digital computer because, from device physics to circuit architecture, its form parallels the functional organization of the neural system. Because the CMOS circuit represents neural processing directly in hardware, it is not simply a simulation tool but rather an analog neural system that is embedded in, and interacts with, the real world.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1016/1044-5765(92)90036-2DOIArticle
http://www.sciencedirect.com/science/article/pii/1044576592900362PublisherArticle
Additional Information:© 1992 Academic Press Ltd. We thank Tobi Delbrück for helpful discussion and Sylvie Ryckebusch for contributions to the neuron network section and help in preparation of the manuscript. We also thank Kwabena Boahen for contributions to the silicon retina. This work was supported by the Systems Development Foundation, the Office of Naval Research, and the Mellon Foundation. Fabrication was provided by DARPA.
Funders:
Funding AgencyGrant Number
Systems Development FoundationUNSPECIFIED
Office of Naval Research (ONR)UNSPECIFIED
Andrew W. Mellon FoundationUNSPECIFIED
Defense Advanced Research Projects Agency (DARPA)UNSPECIFIED
Subject Keywords:VLSI / analog / neural models
Issue or Number:1
DOI:10.1016/1044-5765(92)90036-2
Record Number:CaltechAUTHORS:20150915-135808440
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20150915-135808440
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:60259
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:15 Sep 2015 23:06
Last Modified:10 Nov 2021 22:31

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