This feature of Applied Optics is devoted to papers on the optical implementation of neural-network models of computation. Papers are included on optoelectronic neuron array devices, optical interconnection techniques using holograms and spatial light modulators, optical associative memories, demonstrations of optoelectronic systems for learning, classification, and target recognition, and on the demonstration, analysis, and simulation of adaptive interconnections for optical neural networks using photorefractive volume holograms.
© 1993 Optical Society of America
Kelvin Wagner and Demetri Psaltis, "Optical neural networks: an introduction by the feature editors," Appl. Opt. 32, 1261-1263 (1993)