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28 April 1994 Optical neural networks using photorefractive crystals and microlasers
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Abstract
Holographic implementations of neural networks using photorefractive crystals and vertical-cavity surface-emitting microlaser arrays are described. This paper concentrates on the nonlinear thresholding elements (optical neurons), an associative memory using time-division multiplexing, and image transmission through a single mode fiber.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eung Gi Paek "Optical neural networks using photorefractive crystals and microlasers", Proc. SPIE 10270, Photorefractive Materials, Effects, and Applications: A Critical Review, 102700I (28 April 1994); https://doi.org/10.1117/12.178623
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