Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
권호 표지

Covariance Phasor Neural Network as a Mean field model

  • Takahashi, Haruhisa (Department of Information and Communication Engineering, The University of Electro-Communication)
  • Published : 2002.07.01
Download PDF
⟨ Previous Next ⟩

Abstract

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.

Keywords