Adaptive optical networks using photorefractive crystals

Psaltis, Demetri and Brady, David and Wagner, Kelvin (1988) Adaptive optical networks using photorefractive crystals. Applied Optics, 27 (9). pp. 1752-1759. ISSN 0003-6935. http://resolver.caltech.edu/CaltechAUTHORS:PSAao88

Preview

PDF
See Usage Policy.
1125Kb

Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:PSAao88

Abstract

The capabilities of photorefractive crystals as media for holographic interconnections in neural networks are examined. Limitations on the density of interconnections and the number of holographic associations which can be stored in photorefractive crystals are derived. Optical architectures for implementing various neural schemes are described. Experimental results are presented for one of these architectures.

Item Type:	Article
Additional Information:	© Copyright 2006 Optical Society of America Received 24 July 1987. The authors thank Xiang Guang Gu, Jeff Yu, and Hyuk Lee for many useful discussions relevant to the topics covered in this paper. This research is supported by the Defense Advanced Research Projects Agency, the Air Force Office of Scientific Research, and the Army Research Office. David Brady acknowledges the support of the Office of Naval Research through the ONR/ASEE fellowship program. Portions of this paper were presented at the IEEE International Conference on Neural Networks in San Diego, 21-24 June 1987.
Issue or Number:	9
Record Number:	CaltechAUTHORS:PSAao88
Persistent URL:	http://resolver.caltech.edu/CaltechAUTHORS:PSAao88
Alternative URL:	http://www.opticsinfobase.org/abstract.cfm?URI=ao-27-9-1752
Usage Policy:	No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:	3182
Collection:	CaltechAUTHORS
Deposited By:	Archive Administrator
Deposited On:	18 May 2006
Last Modified:	26 Dec 2012 08:53

Repository Staff Only: item control page