Published January 25, 1990
| public
Journal Article
Holography in artificial neural networks
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.
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.Additional details
- Eprint ID
- 56680
- DOI
- 10.1038/343325a0
- Resolver ID
- CaltechAUTHORS:20150415-105244775
- Strategic Defense Initiative Organization (SDIO)
- Aerojet Corporation
- Defense Advanced Research Projects Agency (DARPA)
- Air Force Office of Scientific Research (AFOSR)
- Army Research Office (ARO)
- Created
-
2015-04-15Created from EPrint's datestamp field
- Updated
-
2021-11-10Created from EPrint's last_modified field