5 February 1990 Multiple-Quantum-Well-Based Spatial Light Modulators For Electro-Optical Implementation Of Neural Metworks
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Abstract
There has been a resurgence of interest in artificial neural networks. However, dedicated hardware implementation is still a bottleneck for the development of significant applications. The neurons and the synapses are the two key components in a neural network. Synapses are used to provide massive interconnections between different neurons. The computational capability of a neural network depends on its storage capacity and speed. The storage capacity is related to the number of synapses (interconnections) between individual neurons. The information is stored in the strength and the distributed pattern of the interconnections. The 2-D nature of optics with inherent capability to provide large connectivity is particularly attractive for implementing neural network models.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. Sahai, R. Sahai, R. B. Bailey, R. B. Bailey, C. Lastufka, C. Lastufka, S. C. Hong, S. C. Hong, W. Q. Li, W. Q. Li, J. Singh, J. Singh, P. K. Bhattacharya, P. K. Bhattacharya, } "Multiple-Quantum-Well-Based Spatial Light Modulators For Electro-Optical Implementation Of Neural Metworks", Proc. SPIE 1151, Optical Information Processing Systems and Architectures, (5 February 1990); doi: 10.1117/12.962243; https://doi.org/10.1117/12.962243
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