대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)

대한전자공학회 (The Institute of Electronics and Information Engineers)
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Covariance Phasor Neural Network as a Mean field model

  • Takahashi, Haruhisa (Department of Information and Communication Engineering, The University of Electro-Communication)
  • 발행 : 2002.07.01
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초록

We present a phase covariance model that can well represent stimulus intensity as well af feature binding (i.e., covariance). The model is represented by complex neural equations, which is a mean field model of stochastic neural model such as Boltzman machine and sigmoid belief networks.

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