FisMat2017 - Submission - View

Abstract's title: Correlated bursty dynamics in excitatory neural networks with synaptic plasticity
Submitting author: Alessandro Vezzani
Affiliation: CNR IMEM
Affiliation Address: Parco Area delle Scienze 37/A - 43124 Parma, Italy
Country: Italy
Oral presentation/Poster (Author's request): Oral presentation
Other authors and affiliations: Fabrizio Pittorino, Dipartimento di Fisica e Scienza della Terra, Università di Parma Miguel Ibanez-Berganza INFN, Gruppo Collegato di Parma Matteo di Volo, INSERM, Ecole Normale Supierieure, Raffaella Burioni, Dipartimento di Fisica e Scienza della Terra, Università di Parma

We study a disordered mean field network of purely excitatory leaky integrate-and-fire neurons with short-term synaptic plasticity. If the synaptic resources display a fast dacay, the  dynamical phase diagram becomes especially interesting. In this case indeed, the quasi-synchronous and the asynchronous phases are separated by a nontrivial, collective, bursty regime with avalanches. In the homogeneous case without disorder, the system synchronizes and the bursty behavior is reflected by the presence of sychronous chaos described by a two dimensional chaotic discrete map. Numerical simulations show that the bursty chaotic phase with avalanches exhibits the spontaneous emergence of persistent time correlations. Our analysis reveals a mechanism for the generation of irregular avalanches that emerges from the combination of disorder and the deterministic underlying chaotic dynamics.