Synchronization of laser oscillators, associative memory, and optical neurocomputing

Frank C. Hoppensteadt and Eugene M. Izhikevich
Phys. Rev. E 62, 4010 – Published 1 September 2000
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Abstract

We investigate here possible neurocomputational features of networks of laser oscillators. Our approach is similar to classical optical neurocomputing where artificial neurons are lasers and connection matrices are holographic media. However, we consider oscillatory neurons communicating via phases rather than amplitudes. Memorized patterns correspond to synchronized states where the neurons oscillate with equal frequencies and with prescribed phase relations. The mechanism of recognition is related to phase locking.

  • Received 31 January 2000

DOI:https://doi.org/10.1103/PhysRevE.62.4010

©2000 American Physical Society

Authors & Affiliations

Frank C. Hoppensteadt and Eugene M. Izhikevich*

  • Center for Systems Science and Engineering, Arizona State University, Tempe, Arizona 85287-7606

  • *Present address: The Neurosciences Institute, 10640 John Jay Hopkins Drive, San Diego, CA 92121. Email address: Eugene.Izhikevich@nsi.edu; URL: http://math.la.asu.edu/eugene

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Vol. 62, Iss. 3 — September 2000

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