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arXiv · 1610.00252

Chaos and correlated avalanches in excitatory neural networks with synaptic plasticity

Fabrizio Pittorino·Miguel Ibáñez-Berganza·Matteo di Volo·Alessandro Vezzani·Raffaella Burioni
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Abstract

A collective chaotic phase with power law scaling of activity events is observed in a disordered mean field network of purely excitatory leaky integrate-and-fire neurons with short-term synaptic plasticity. The dynamical phase diagram exhibits two transitions from quasi-synchronous and asynchronous regimes to the nontrivial, collective, bursty regime with avalanches. In the homogeneous case without disorder, the system synchronizes and the bursty behavior is reflected into a doubling-period transition to chaos for a two dimensional discrete map. Numerical simulations show that the bursty chaotic phase with avalanches exhibits a spontaneous emergence of time correlations and enhanced Kolmogorov complexity. Our analysis reveals a mechanism for the generation of irregular avalanches that emerges from the combination of disorder and deterministic underlying chaotic dynamics.

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Fabrizio Pittorino, Miguel Ibáñez-Berganza, Matteo di Volo, Alessandro Vezzani, Raffaella Burioni. 2017-03-17. Chaos and correlated avalanches in excitatory neural networks with synaptic plasticity. https://doi.org/10.1103/physrevlett.118.098102

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