2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/111876We present a neurobiologically--inspired stochastic cellular automaton whose state jumps with time between the attractors corresponding to a series of stored patterns. The jumping varies from regular to chaotic as the model parameters are modified. The resulting irregular behavior, which mimics the state of attention in which a systems shows a great adaptability to changing stimulus, is a consequence in the model of short--time presynaptic noise which induces synaptic depression. We discuss results from both a mean--field analysis and Monte Carlo simulations.12 pages, 5 figuresNeurons and CognitionChaotic hopping between attractors in neural networkstext