Adaptive optical networks using photorefractive crystals

Demetri Psaltis; David Brady; Kelvin Wagner

doi:10.1364/AO.27.001752

Adaptive optical networks using photorefractive crystals

Demetri Psaltis, David Brady, Kelvin Wagner

Research output: Contribution to journal › Article › peer-review

404 Scopus citations

Abstract

The capabilities of photorefractive crystals as media for holographic interconnections in neural networks are examined. Limitations on the density of interconnections and the number of holographic associations which can be stored in photorefractive crystals are derived. Optical architectures for implementing various neural schemes are described. Experimental results are presented for one of these architectures.

Original language	English (US)
Pages (from-to)	1752-1759
Number of pages	8
Journal	Applied optics
Volume	27
Issue number	9
DOIs	https://doi.org/10.1364/AO.27.001752
State	Published - May 1988
Externally published	Yes

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
Engineering (miscellaneous)
Electrical and Electronic Engineering

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10.1364/AO.27.001752

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title = "Adaptive optical networks using photorefractive crystals",

abstract = "The capabilities of photorefractive crystals as media for holographic interconnections in neural networks are examined. Limitations on the density of interconnections and the number of holographic associations which can be stored in photorefractive crystals are derived. Optical architectures for implementing various neural schemes are described. Experimental results are presented for one of these architectures.",

author = "Demetri Psaltis and David Brady and Kelvin Wagner",

year = "1988",

month = may,

doi = "10.1364/AO.27.001752",

language = "English (US)",

volume = "27",

pages = "1752--1759",

journal = "Applied optics",

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AU - Psaltis, Demetri

AU - Brady, David

AU - Wagner, Kelvin

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AB - The capabilities of photorefractive crystals as media for holographic interconnections in neural networks are examined. Limitations on the density of interconnections and the number of holographic associations which can be stored in photorefractive crystals are derived. Optical architectures for implementing various neural schemes are described. Experimental results are presented for one of these architectures.

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DO - 10.1364/AO.27.001752

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JO - Applied optics

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Adaptive optical networks using photorefractive crystals

Abstract

ASJC Scopus subject areas

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