Recurrent Optical Neural Network for the Study of Pattern Dynamics

Christoph Berger; Neil Collings; Timothée Jost

doi:10.1364/OC.1997.OTuE.5

Optics in Computing
Technical Digest Series (Optica Publishing Group, 1997),
paper OTuE.5
•https://doi.org/10.1364/OC.1997.OTuE.5

Recurrent Optical Neural Network for the Study of Pattern Dynamics

Christoph Berger, Neil Collings, and Timothée Jost

Optics in Computing 1997

Incline Village, Nevada United States
18–21 March 1997
ISBN:

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Poster Session: 1 (OTuE)

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C. Berger, N. Collings, and T. Jost, "Recurrent Optical Neural Network for the Study of Pattern Dynamics," in Optics in Computing, Technical Digest Series (Optica Publishing Group, 1997), paper OTuE.5.

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Abstract

The goal of our current research is to investigate the dynamics of patterns circulating in an asynchronous recurrent neural network. We have designed a recurrent neural network with 16×16 fully interconnected channels and an optical feedback loop. Initial experimental results with building blocks of the system are presented.

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