Photorefractive optical neural network

Bernard H. Soffer; Yuri Owechko; Gilmore J. Dunning

doi:10.1117/12.23388

27 December 1990 Photorefractive optical neural network

Bernard H. Soffer, Yuri Owechko, Gilmore J. Dunning

Proceedings Volume 1347, Optical Information Processing Systems and Architectures II; (1990) https://doi.org/10.1117/12.23388
Event: 34th Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1990, San Diego, CA, United States

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.

Citation Download Citation

Bernard H. Soffer, Yuri Owechko, and Gilmore J. Dunning "Photorefractive optical neural network", Proc. SPIE 1347, Optical Information Processing Systems and Architectures II, (27 December 1990); https://doi.org/10.1117/12.23388

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