Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Holography in artificial neural networks
 
review article

Holography in artificial neural networks

Psalltis, D.  
•
Brady, D.
•
Gu, X.-G.
Show more
1990
Nature

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.

  • Files
  • Details
  • Metrics
Type
review article
DOI
10.1038/343325a0
Scopus ID

2-s2.0-0025060787

Author(s)
Psalltis, D.  
Brady, D.
Gu, X.-G.
Lin, S.
Date Issued

1990

Published in
Nature
Volume

343

Issue

6256

Start page

325

End page

330

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
LO  
Available on Infoscience
November 23, 2010
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/58156
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés