This thesis investigates the optical implementation of neural networks utilizing dynamic
photorefractive volume holography. The number of accessible degrees of freedom in a …

Photorefractive materials are attractive for use as high density distributed storage media due
to their dynamic response and high diffraction efficiency. Real-time holography is of …

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 …

In recent years, there have been extensive research efforts on photorefractive phenomena,
materials, devices and applications. Much of the progress has been achieved and some …

This thesis describes the use of volume holography to implement large-scale linear
transformations on distributed optical fields. Such transformations are useful in the …

Dynamic holography and its associated nonlinear optical phenomena using photorefractive
crystals have been investigated for optical information processing applications ranging from …

We have developed an optical neurocomputer for implementing neural networks based on
real-time holography in photorefractive materials. Optical techniques show great promise for …

While volume holograms offer a powerful means for providing interconnections for many
information processing tasks, the adaptable interconnection capability necessary for …

We consider the properties of a generalized perceptron learning network, taking into
account the decay or the gain of the weight vector during the training stages. A mathematical …

In this dissertation, the space-charge fields in photorefractive crystals due to the illumination
of light interference patterns have been analyzed for volume holographic interconnections …