Browsing by Author "Vezzani, Alessandro"

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    Synchronization and long-time memory in neural networks with inhibitory hubs and synaptic plasticity
    (APS, 2017-01) Bertolotti, Elena; Burioni, Raffaella; di Volo, Matteo; Vezzani, Alessandro; Department of Mathematical Sciences, School of Science
    We investigate the dynamical role of inhibitory and highly connected nodes (hub) in synchronization and input processing of leaky-integrate-and-fire neural networks with short term synaptic plasticity. We take advantage of a heterogeneous mean-field approximation to encode the role of network structure and we tune the fraction of inhibitory neurons f I and their connectivity level to investigate the cooperation between hub features and inhibition. We show that, depending on f I , highly connected inhibitory nodes strongly drive the synchronization properties of the overall network through dynamical transitions from synchronous to asynchronous regimes. Furthermore, a metastable regime with long memory of external inputs emerges for a specific fraction of hub inhibitory neurons, underlining the role of inhibition and connectivity also for input processing in neural networks.