title: A class of cellular automata modeling winnerless competition.
abstract: 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.
authors.affiliation: IICO-UASLP, A. Obregon 64, 78000 San Luis Potosi, SLP, Mexico.
authors.forename: V.
authors.initials: V
authors.lastname: Afraimovich
authors.forename: F. C.
authors.initials: FC
authors.lastname: Ordaz
authors.forename: J.
authors.initials: J
authors.lastname: Urias