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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 40, Iss. 29 — Oct. 10, 2001
  • pp: 5162–5169

High-capacity photorefractive neural network implementing a Kohonen topological map

Yann Frauel, Gilles Pauliat, André Villing, and Gérald Roosen  »View Author Affiliations


Applied Optics, Vol. 40, Issue 29, pp. 5162-5169 (2001)
http://dx.doi.org/10.1364/AO.40.005162


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Abstract

We designed and built a high-capacity neural network based on volume holographic interconnections in a photorefractive crystal. We used this system to implement a Kohonen topological map. We describe and justify our optical setup and present some experimental results of self-organization in the learning database.

© 2001 Optical Society of America

OCIS Codes
(070.5010) Fourier optics and signal processing : Pattern recognition
(160.5320) Materials : Photorefractive materials
(200.4700) Optics in computing : Optical neural systems
(210.2860) Optical data storage : Holographic and volume memories

History
Original Manuscript: October 13, 2000
Revised Manuscript: March 27, 2001
Published: October 10, 2001

Citation
Yann Frauel, Gilles Pauliat, André Villing, and Gérald Roosen, "High-capacity photorefractive neural network implementing a Kohonen topological map," Appl. Opt. 40, 5162-5169 (2001)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-40-29-5162


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