A neural network model composed of two-state and three-state neurons
School of Informatics and Sciences, Nagoya University, Nagoya,
2 Institute of Molecular Physics, Polish Academy of Sciences, ul. Smoluchowskiego 17, 60-179 Poznań, Poland
Revised: 12 February 1999
Published online: 15 January 2000
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
© EDP Sciences, Società Italiana di Fisica, Springer-Verlag, 2000