title: Heterogeneous connections induce oscillations in large-scale networks.
abstract: Realistic large-scale networks display a heterogeneous distribution of connectivity weights that might also randomly vary in time. We show that, depending on the level of heterogeneity in the connectivity coefficients, different qualitative macroscopic and microscopic regimes emerge. We evidence, in particular, generic transitions from stationary to perfectly periodic phase-locked regimes as the disorder parameter is increased, both in a simple model treated analytically and in a biologically relevant network made of excitable cells.
authors.affiliation: NeuroMathComp Laboratory, INRIA/ENS, Paris, France.
authors.forename: Geoffroy
authors.initials: G
authors.lastname: Hermann
authors.forename: Jonathan
authors.initials: J
authors.lastname: Touboul
mesh_terms: D023902:Chromosome Pairing / Q000502:physiology; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009434:Neural Pathways / Q000502:physiology; D013269:Stochastic Processes