Photorefractive crystals in optical neural computers

David Brady, Xiang Guang Gu, Demetri Psaltis

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)132-136
Number of pages5
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - May 3 1988
Externally publishedYes

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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