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This paper discusses holographic neumi netwrk architectures in which the connection weights between neurons are implemented
as gratings in a photorefrtive crystal. In particular, it will discuss the self-pumped optical neural network (SPONN), which is a fineed
optical architecture which features massive parallelism and a much greater degree of interconnectivity than bus-oriented or
hypercube electronic architectures.Connecüons between neurons are implemented as sets of angularly and spatially multiplexed volume
phase gratings. SPONN is potentially capable of implementing neural networks consisting of 1O1O6 neurons with 109.1010
interconnections. The mapping of neural network models onto the architecture occurs naturally without the need for multiplexing
neurons or dealing with the contention, muting, and communication bottleneck problems of electronic parallel computers. This
simplifies the programming of the optical system.
Bernard H. Soffer,Yuri Owechko, andGilmore J. Dunning
"Photorefractive optical neural network", Proc. SPIE 1319, Optics in Complex Systems, (1 July 1990); https://doi.org/10.1117/12.22274
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Bernard H. Soffer, Yuri Owechko, Gilmore J. Dunning, "Photorefractive optical neural network," Proc. SPIE 1319, Optics in Complex Systems, (1 July 1990); https://doi.org/10.1117/12.22274