Heterogeneous Connections Induce Oscillations in Large-Scale Networks

Geoffroy Hermann 1 Jonathan Touboul 2
1 NEUROMATHCOMP - Mathematical and Computational Neuroscience
CRISAM - Inria Sophia Antipolis - Méditerranée , JAD - Laboratoire Jean Alexandre Dieudonné : UMR6621
2 BANG - Nonlinear Analysis for Biology and Geophysical flows
LJLL - Laboratoire Jacques-Louis Lions, Inria Paris-Rocquencourt
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.
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Physical Review Letters, American Physical Society, 2012, 109 (1), pp.018702. 〈10.1103/PhysRevLett.109.018702〉
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Soumis le : mercredi 17 juillet 2013 - 14:13:44
Dernière modification le : jeudi 11 janvier 2018 - 16:16:50

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Geoffroy Hermann, Jonathan Touboul. Heterogeneous Connections Induce Oscillations in Large-Scale Networks. Physical Review Letters, American Physical Society, 2012, 109 (1), pp.018702. 〈10.1103/PhysRevLett.109.018702〉. 〈hal-00845590〉

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