Photorefractive Neuron by Two-Wave Mixing

V. Hornung-Lequeux; Ph. Lalanne; J. Taboury; G. Roosen

doi:10.1364/OPTCOMP.1989.MF3

Optical Computing
Technical Digest Series (Optica Publishing Group, 1989),
paper MF3
•https://doi.org/10.1364/OPTCOMP.1989.MF3

Photorefractive Neuron by Two-Wave Mixing

V. Hornung-Lequeux, Ph. Lalanne, J. Taboury, and G. Roosen

Optical Computing 1989

Salt Lake City, Utah United States
27 February–1 March 1989
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SLMs and Optical Devices: 2 (MF)

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V. Hornung-Lequeux, P. Lalanne, J. Taboury, and G. Roosen, "Photorefractive Neuron by Two-Wave Mixing," in Optical Computing, Technical Digest Series (Optica Publishing Group, 1989), paper MF3.

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Abstract

J.J. Hopfield has shown [1] that highly-interconnected neural networks have computational abilities for optimization problems and pattern recognition. The activity of a neuron can be modeled as shown in figure 1. The graded response to an excitatory or inhibitory force F is a non linear function of the input.

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