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Proceedings Paper

Optical associative memory using nonlinear feedback
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Paper Abstract

We describe an optical neural network that is characterized by a nonlinear optoelectronic module to perform the nonlinear operations that are required in a neural network. The network uses a correlator architecture where the interconnection weights are stored in a computer- generated hologram trained by our so-called global iterative technique. Only a small portion of the light is tapped out to perform the nonlinear operations by controlling the input spatial light modulator, and the main signal passes through without interruption. Experimental results of the system used as an associative memory are shown.

Paper Details

Date Published: 5 August 1994
PDF: 4 pages
Proc. SPIE 2321, Second International Conference on Optoelectronic Science and Engineering '94, (5 August 1994); doi: 10.1117/12.182121
Show Author Affiliations
Henri H. Arsenault, Univ. Laval (Canada)
Alain Bergeron, National Optics Institute (Canada)


Published in SPIE Proceedings Vol. 2321:
Second International Conference on Optoelectronic Science and Engineering '94
Wang Da-Heng; Anna Consortini; James B. Breckinridge, Editor(s)

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