Experimental Demonstrations of Optical Neural Computers Page 1 EXPERIMENTAL
DEMONSTRATIONS OF OPTICAL NEURAL COMPUTERS Ken Hsu, David Brady, and …

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 …

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 …

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 …

In this paper we will review recent advances in training optical neural networks. We will
focus on holographic implementations using photorefractive crystals [1]. The vast majority of …

“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 …

A new architecture for optical computing is proposed, based on associative memory which
can be conveniently constructed by optical holography. This architecture is derived from a …

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

In this paper we consider digital and analogue implementations of optical associative
memories. Both techniques rely on the holographic manipulation of optical information. In …

For several years we have been working with neural network models and with their optical
implementations, as well as with holographic associative memory. Being experienced in …