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Proceedings Paper

Distributed Computation In Neural Networks And Their Optical Analogs
Author(s): Marcus Cohen
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Paper Abstract

A continuum model for a neural network with lateral inhibition biased near threshold behaves like a dispersive optical medium with convective gain in a narrow band of wave numbers. A quadratic memory nonlinearity causes a long-lived change in an excitability parameter with continued excitation, imprinting multiplexed volume holographic gratings in the medium. Pairs, Chains, and Cycles of associated images may then be reconstructed by multiple Bragg scattering, corresponding to the recognition of patterns of images invariant under groups of transformations. An optical analog of the neural medium is suggested which could implement pattern recognition tasks on noncoherent inputs within a single crystal.

Paper Details

Date Published: 20 November 1985
PDF: 3 pages
Proc. SPIE 0540, Southwest Conf on Optics '85, (20 November 1985); doi: 10.1117/12.976169
Show Author Affiliations
Marcus Cohen, New Mexico State University (United States)


Published in SPIE Proceedings Vol. 0540:
Southwest Conf on Optics '85
Susanne C. Stotlar, Editor(s)

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