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Proceedings Paper

Optoelectronic Neural Networks Based On Holographically Interconnected Image Processors
Author(s): Y Owechko; B H Soffer; G J Dunning
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Paper Abstract

We describe an optoelectronic resonator associative memory system which utilizes holographic interconnects. Image processing techniques are used to implement nonlinearities and feedback. We show using numerical models that both power law and sigmoidal nonlinearities improve the storage capacity. Our experimental results lead us to be optimistic that this hybrid optical/electronic approach can be extended to adaptive neural network models.

Paper Details

Date Published: 3 May 1988
PDF: 11 pages
Proc. SPIE 0882, Neural Network Models for Optical Computing, (3 May 1988); doi: 10.1117/12.944114
Show Author Affiliations
Y Owechko, Hughes Research Laboratories (United States)
B H Soffer, Hughes Research Laboratories (United States)
G J Dunning, Hughes Research Laboratories (United States)

Published in SPIE Proceedings Vol. 0882:
Neural Network Models for Optical Computing
Ravindra A. Athale; Joel Davis, Editor(s)

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