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Proceedings Paper

Photorefractive optical neural network
Author(s): Bernard H. Soffer; Yuri Owechko; Gilmore J. Dunning
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Paper Abstract

An account is given of the self-pumped optical neural network (SPONN) fine-grained optical architecture, which features massive parallelism and much higher interconnectivity than either bus-oriented or hypercube electronic architectures. Connections among neurons are implemented by SPONN as sets of angularly and spatially multiplexed volume phase gratings. The mapping of neural-network models onto the SPONN architecture occurs without the need for neuron-multiplexing or dealing with electronic parallel computers'' bottlenecks, greatly simplifying programming.

Paper Details

Date Published: 27 December 1990
PDF: 2 pages
Proc. SPIE 1347, Optical Information Processing Systems and Architectures II, (27 December 1990); doi: 10.1117/12.23388
Show Author Affiliations
Bernard H. Soffer, Hughes Research Labs. (United States)
Yuri Owechko, Hughes Research Labs. (United States)
Gilmore J. Dunning, Hughes Research Labs. (United States)

Published in SPIE Proceedings Vol. 1347:
Optical Information Processing Systems and Architectures II
Bahram Javidi, Editor(s)

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