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Proceedings Paper

Optoelectronic implementation of a neural network
Author(s): Kevin J. Heggarty; Raymond C. Chevallier; Yizhak Idan; Gabriel Y. Sirat
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Paper Abstract

We present a hybrid opto-electronic implementation of a neural network. In our system the linear part of the algorithm (calculation intensive) is performed optically. The non4inear feedback is controlled by a microcomputer which takes the system output detected using a CD camera, thresholds this output and then uses the thresholded signal to commtnd the spatial light modulator which provides the input to the optical part of the system. One of the major advantages of optics in this type of architecture is its ability to work in parallel on two•dimensional data structures. However, a four-dimensional synaptic matrix is required to stoie the connections between two images. We recall and explain the Frequency Multiplexed Raster (FMR) coding scheme we have developed to enable us to store this four..dimensional array on a planar component (CGH). In addition we present some modifications to the basic synaptic matrix algorithm which improve its performance with correlated images. Finally, after presenting some first experimental results we extend the FMR coding scheme for use in generalized optical interconnections.

Paper Details

Date Published: 1 August 1990
PDF: 9 pages
Proc. SPIE 1281, Optical Interconnections and Networks, (1 August 1990); doi: 10.1117/12.20687
Show Author Affiliations
Kevin J. Heggarty, Telecom Paris (France)
Raymond C. Chevallier, Telecom Paris (France)
Yizhak Idan, Telecom Paris (France)
Gabriel Y. Sirat, Telecom Paris (France)

Published in SPIE Proceedings Vol. 1281:
Optical Interconnections and Networks
Hartmut Bartelt, Editor(s)

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