Noise-induced up/down dynamics in scale-free neuronal networks
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Cortical neuronal networks are known to exhibit regimes of dynamical activity characterized by periods of elevated firing (up states) separated by silent phases (down states). Here, we show that up/down dynamics may emerge spontaneously in scale-free neuronal networks, provided an optimal amount of noise acts upon all network nodes. Our conclusions are drawn from numerical simulations of networks of subthreshold integrate-and-fire neurons, connected to each other according to a scale-free topology. We study the structure of the up/down regime both in time and in terms of the node degree. We also examine whether localized random perturbations applied to specific network nodes are able to generate up/down dynamics, showing that this regime arises when noisy inputs are applied to low-degree (nonhub) network nodes, but not when they act upon network hubs.
CitationGrau-Moya, J.; Pons, A. J.; Garcia-Ojalvo, J. Noise-induced up/down dynamics in scale-free neuronal networks. "International journal of bifurcation and chaos", 31 Juliol 2012, vol. 22, núm. 7, p. 1-11.