title: Scale-free topologies and activatory-inhibitory interactions.
abstract: A simple model of activatory-inhibitory interactions controlling the activity of agents (substrates) through a "saturated response" dynamical rule in a scale-free network is thoroughly studied. After discussing the most remarkable dynamical features of the model, namely fragmentation and multistability, we present a characterization of the temporal (periodic and chaotic) fluctuations of the quasi-stasis asymptotic states of network activity. The double (both structural and dynamical) source of entangled complexity of the system temporal fluctuations, as an important partial aspect of the correlation structure-function problem, is further discussed in light of the numerical results, with a view on potential applications of these general results.
authors.affiliation: Departamento de Física de la Materia Condensada, Instituto de Biocomputación y Física de Sistemas Complejos BIFI, C.S.I.C.-Universidad de Zaragoza, 50009 Zaragoza, Spain.
authors.forename: J
authors.initials: J
authors.lastname: Gómez-Gardeñes
authors.forename: Y
authors.initials: Y
authors.lastname: Moreno
authors.forename: L M
authors.initials: LM
authors.lastname: Floría
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D000818:Animals; D001683:Biological Clocks / Q000502:physiology*; D003198:Computer Simulation; D019706:Excitatory Postsynaptic Potentials / Q000502:physiology; D006801:Humans; D008959:Models, Neurological; D015233:Models, Statistical; D009415:Nerve Net / Q000502:physiology*; D009433:Neural Inhibition / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D017711:Nonlinear Dynamics; D009435:Synaptic Transmission / Q000502:physiology*; D013997:Time Factors