A class of cellular automata modeling winnerless competition.
Neural units introduced by Rabinovich et al. ("Sensory coding with dynamically competitive networks," UCSD and CIT, February 1999) motivate a class of cellular automata (CA) where spatio-temporal encoding is feasible. The spatio-temporal information capacity of a CA is estimated by the information capacity of the attractor set, which happens to be finitely specified. Two-dimensional CA are studied in detail. An example is given for which the attractor is not a subshift. (c) 2002 American Institute of Physics.
Afraimovich
V.
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IICO-UASLP, A. Obregon 64, 78000 San Luis Potosi, SLP, Mexico.
Ordaz
F. C.
FC
Urias
J.
J