Implementations of neural networks using photoactivated conducting biological materials

Clark Mobarry, Aaron Lewis

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

A new implementation of the Hopfield model for neural networks using photoactivated electrically-conducting biological materials is introduced. This implementation allows rapid electrical reprogramming of the network. These neural networks show exciting promise for content addressable memories, image processing, and constrained optimization problems.

Original languageEnglish
Pages (from-to)304-308
Number of pages5
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume700
DOIs
StatePublished - 8 Jan 1987
Externally publishedYes

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