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Proceedings Paper

Boltzmann distributions and neural networks: models of unbalanced interpretations of reversible patterns
Author(s): Francesco Masulli; Massimo Riani; Enrico Simonotto; Fabrizio Vannucci
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Paper Abstract

The paper describes a neural network model of the perceptual alternation of ambiguous patterns with unbalanced alternative interpretations. The network is made up by binary `neurons' fully and symmetrically interconnected. An energy function can be introduced; therefore, the analogy between the presented model and magnetic systems is exploited to study the statistical properties of the system. On the basis of considerations related to statistical mechanics, the probabilities of `occupation' of the two phase-space regions, associated with the two interpretations of an ambiguous figure, can be determined and analyzed.zed

Paper Details

Date Published: 1 July 1992
PDF: 12 pages
Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); doi: 10.1117/12.140093
Show Author Affiliations
Francesco Masulli, Univ. of Genoa (Italy)
Massimo Riani, Univ. of Genoa (Italy)
Enrico Simonotto, Univ. of Genoa (Italy)
Fabrizio Vannucci, Univ. of Genoa (Italy)

Published in SPIE Proceedings Vol. 1710:
Science of Artificial Neural Networks
Dennis W. Ruck, Editor(s)

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