Photorefractive crystals in optical neural computers
Published
Journal Article
The storage capacity for neural interconnections in photorefractive crystals and the use of the dynamic nature of the photorefractive effect to train these interconnections are discussed. We describe an optical neural architecture which uses the characteristics of the photorefractive response to implement error driven learning and describe a modified perceptron algorithm which we have used to train this optical system. © 1988 SPIE.
Full Text
Duke Authors
Cited Authors
- Brady, D; Gu, XG; Psaltis, D
Published Date
- May 3, 1988
Published In
Volume / Issue
- 882 /
Start / End Page
- 132 - 136
Electronic International Standard Serial Number (EISSN)
- 1996-756X
International Standard Serial Number (ISSN)
- 0277-786X
Digital Object Identifier (DOI)
- 10.1117/12.944112
Citation Source
- Scopus