Paper
16 September 1992 Learning in large optical networks
Yong Qiao, Demetri Psaltis
Author Affiliations +
Abstract
In a holographic optical learning network, the decay of multiply exposed holographic interconnections can adversely affect the training of the network. A new dynamic photorefractive holographic memory is described that allows an arbitrarily long sequence of adaptations by rejuvenating decayed holograms with a simple all-optical feedback loop.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yong Qiao and Demetri Psaltis "Learning in large optical networks", Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); https://doi.org/10.1117/12.140042
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Holograms

Holography

Optical networks

Feedback loops

Crystals

Feedback signals

Neurons

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