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Holography in artificial neural networks

Psaltis, Demetri and Brady, David and Gu, Xiang-Guang and Lin, Steven (1990) Holography in artificial neural networks. Nature, 343 (6256). pp. 325-330. ISSN 0028-0836. https://resolver.caltech.edu/CaltechAUTHORS:20150415-105244775

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Abstract

The dense interconnections that characterize neural networks are most readily implemented using optical signal processing. Optoelectronic 'neurons' fabricated from semiconducting materials can be connected by holographic images recorded in photorefractive crystals. Processes such as learning can be demonstrated using holographic optical neural networks.


Item Type:Article
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http://dx.doi.org/10.1038/343325a0DOIArticle
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Additional Information:© 1990 Nature Publishing Group. The authors thank H. Lee, K. Wagner, K. Hsu, J. Kim, S. Li. J. Yu and Y. A. Mostafa for their contributions and comments. S.L. is supported by an SDIO/ISTC Fellowship. D.B. acknowledges the support of the Aero jet Corporation. This research is supported by DARPA, the Air Force Office of Scientific Research, and the Army Research Office.
Funders:
Funding AgencyGrant Number
Strategic Defense Initiative Organization (SDIO)UNSPECIFIED
Aerojet CorporationUNSPECIFIED
Defense Advanced Research Projects Agency (DARPA)UNSPECIFIED
Air Force Office of Scientific Research (AFOSR)UNSPECIFIED
Army Research Office (ARO)UNSPECIFIED
Issue or Number:6256
Record Number:CaltechAUTHORS:20150415-105244775
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20150415-105244775
Official Citation:Holography in artificial neural networks 325 Demetri Psaltis, David Brady, Xiang-Guang Gu & Steven Lin doi:10.1038/343325a0
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:56680
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:15 Apr 2015 19:59
Last Modified:03 Oct 2019 08:16

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