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A neural network model composed of two-state and three-state neurons

  • Y. Nakamura
  • A.R. Ferchmin
  • 28 Downloads

Abstract:

A neural network model composed of two-state (1 and -1) and three-state (1, 0 and -1) neurons is proposed. The two-state neurons are connected with the three-state ones only and vice versa. We derive dynamic equations for the model under the assumption of non-symmetrical dilution of connections. A zero-noise phase diagram is obtained and a region in which two fixed point solutions can coexist is found. Basins of attraction for the solutions are also investigated.

PACS. 05.45.-a Nonlinear dynamics and nonlinear dynamical systems - 87.80.Xa Neural engineering 

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Copyright information

© EDP Sciences, Springer-Verlag, Società Italiana di Fisica 2000

Authors and Affiliations

  • Y. Nakamura
    • 1
  • A.R. Ferchmin
    • 2
  1. 1.School of Informatics and Sciences, Nagoya University, Nagoya, 464-8601, JapanJP
  2. 2.Institute of Molecular Physics, Polish Academy of Sciences, ul. Smoluchowskiego 17, 60-179 Poznan, PolandPL

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