Holography in artificial neural networks
Psalltis, D.; Brady, D.; Gu, X.-G.; Lin, S.
1990

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Abstract

The dense interconnections that characterize neural networks are most readily implemented using optical signal processing. Optoelectronic 'neurons' fabricated from semiconducting materials can be connected by holographic images recorded in photorefractive crystals. Processes such as learning can be demonstrated using holographic optical neural networks.

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Title Holography in artificial neural networks
Author(s) Psalltis, D. ; Brady, D. ; Gu, X.-G. ; Lin, S.
Published in Nature
Volume 343
Issue 6256
Pages 325-330
Date 1990
ISSN 00280836
DOI https://doi.org/10.1038/343325a0
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Laboratories LO
Record Appears in Scientific production and competences > STI - School of Engineering > IEM - Institut d'Electricité et de Microtechnique > LO - Optics Laboratory
Peer-reviewed publications
Work outside EPFL
Published
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Record creation date 2010-11-23

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