An optical computer which performs the classification of an input object pattern into one of
two learned classes is designed and demonstrated. The classifier is an optical …

The storage capacity for neural interconnections in photorefractive crystals and the use of
the dynamic nature of the photorefractive effect to train these interconnections are …

A neural computer consists of simple nonlinear processing units,“neurons”, and a large
number of linear interconnections between neurons. In implementing a neural computer it is …

“Optical computing” is a term which has been used to describe many types of optical
systems. This article concentrates on one optical computer design which appears to be …

The photorefractive effect is a nonlinear optical phenomenon exhibited in a variety of
electrooptic crystal whereby index gratings can be written holographically in real time and …

The capabilities of photorefractive crystals as media for holographic interconnections in
neural networks are examined. Limitations on the density of interconnections and the …

We describe the combination of neural network training and volume holographic storage
technologies using photorefractive crystals for real-time image processing. Experimental …

We have performed experimental studies of a hybrid electronic/optical neural network where
interconnections are implemented optically using a photorefractive crystal. This system 1 …

This final report describes research in optical neural networks performed under DARPA
sponsorship at Hughes Aircraft Company during the period 1989-1992. The objective of …

We describe a laser diode-based optoelectronic implementation of artificial neural networks
which utilizes real-time holography in photorefractive crystals. The use of a laser diode light …