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