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Proceedings Paper

Optical neural networks using photorefractive crystals and microlasers
Author(s): Eung Gi Paek
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Paper 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.

Paper Details

Date Published: 28 April 1994
PDF: 14 pages
Proc. SPIE 10270, Photorefractive Materials, Effects, and Applications: A Critical Review, 102700I (28 April 1994); doi: 10.1117/12.178623
Show Author Affiliations
Eung Gi Paek, Bell Communications Research (United States)


Published in SPIE Proceedings Vol. 10270:
Photorefractive Materials, Effects, and Applications: A Critical Review
Pochi Yeh; Claire Gu, Editor(s)

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