Discrete synaptic events induce global oscillations in balanced neural networks

no code implementations • 10 Nov 2023 • Denis S. Goldobin, Matteo di Volo, Alessandro Torcini

Neural dynamics is triggered by discrete synaptic inputs of finite amplitude.

A new generation of reduction methods for networks of neurons with complex dynamic phenotypes

no code implementations • 21 Jun 2022 • Inês C. Guerreiro, Matteo di Volo, Boris Gutkin

Collective dynamics of spiking networks of neurons has been of central interest to both computation neuroscience and network science.

Coherent oscillations in balanced neural networks driven by endogenous fluctuations

no code implementations • 18 Oct 2021 • Matteo di Volo, Marco Segneri, Denis Goldobin, Antonio Politi, Alessandro Torcini

We present a detailed analysis of the dynamical regimes observed in a balanced network of identical Quadratic Integrate-and-Fire (QIF) neurons with a sparse connectivity for homogeneous and heterogeneous in-degree distribution.

Asynchronous and coherent dynamics in balanced excitatory-inhibitory spiking networks

no code implementations • 31 Aug 2021 • Hongjie Bi, Matteo di Volo, Alessandro Torcini

Our analysis suggest that despite PING-like or fluctuation driven COS are observable for any finite in-degree K, in the limit N >> K >> 1 these solutions result in two coexisting balanced regimes: an asynchronous and a fully synchronized one.

Order symmetry breaking and broad distribution of events in spiking neural networks with continuous membrane potential

no code implementations • 7 Apr 2021 • Marco Stucchi, Fabrizio Pittorino, Matteo di Volo, Alessandro Vezzani, Raffaella Burioni

We introduce an exactly integrable version of the well-known leaky integrate-and-fire (LIF) model, with continuous membrane potential at the spiking event, the c-LIF.