Bertolotti, ElenaBurioni, Raffaelladi Volo, MatteoVezzani, Alessandro2017-10-262017-10-262017-01Bertolotti, E., Burioni, R., di Volo, M., & Vezzani, A. (2017). Synchronization and long-time memory in neural networks with inhibitory hubs and synaptic plasticity. Physical Review E, 95(1), 012308. https://doi.org/10.1103/PhysRevE.95.012308https://hdl.handle.net/1805/14377We 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.enPublisher Policysynchronizationnetworksnonlinear dynamicsArticle