Stochastic resonance in the perceptual interpretation of ambiguous figures: A neural network model

Phys. Rev. Lett. 72, 3120 – Published 9 May 1994
M. Riani and E. Simonotto

Abstract

We describe the results of computer simulations of the dynamical behavior of an autoassociative network with a two-dimensional energy landscape. Such a network can model some aspects of the phenomenon of perceptual bistability in the presence of ambiguous figures. The network can be operated at either zero or nonzero temperatures which represent an internal system noise. Our results show that, under the influence of a weak periodic external signal, the network exhibits a maximum in the signal-to-noise ratio at an optimum noise level: the characteristic signature of stochastic resonance.

DOI: http://dx.doi.org/10.1103/PhysRevLett.72.3120

  • Received 27 December 1993
  • Published in the issue dated 9 May 1994

© 1994 The American Physical Society

Authors & Affiliations

M. Riani and E. Simonotto

  • Dipartmento di Fisica, Università di Genova, Instituto Nazionale di Fisica della Materia, Unità di Genova via Dodecaneso 33, 16146 Genova, Italy

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