title: Cognitive aspects of chaos in random networks.
abstract: A special case of deterministic chaos that is independent of the architecture of the connections has been observed in a computer model of a purely excitatory neuronal network. Chaos onsets when the level of connectivity is critically low. The results indicate a typical period-doubling route to chaos as the connectivity decreases. A cognitive interpretation of such type of chaos, based on information theory and phase-transitions, is proposed.
authors.affiliation: Universita' di Palermo, Italy. gaetanoliborio.aiello@unipa.it
authors.forename: Gaetano L
authors.initials: GL
authors.lastname: Aiello
mesh_terms: D003071:Cognition / Q000502:physiology*; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009431:Neural Conduction / Q000502:physiology*; D009434:Neural Pathways / Q000502:physiology*; D017711:Nonlinear Dynamics; D012894:Sleep Stages / Q000502:physiology; D009435:Synaptic Transmission / Q000502:physiology