87 citations · 397 across the 15 of their papers we have counts for
15 papers
Discrete synaptic events induce global oscillations in balanced neural networks
Denis S. Goldobin, Matteo di Volo, Alessandro Torcini
Neural dynamics is triggered by discrete synaptic inputs of finite amplitude. However, the neural response is usually obtained within the diffusion approximation (DA) representing…
A new generation of reduction methods for networks of neurons with complex dynamic phenotypes
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. Over the past years a new generation of neural…
Coherent oscillations in balanced neural networks driven by endogenous fluctuations
Matteo Di Volo, Marco Segneri, Denis Goldobin +2
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 homoge…
Asynchronous and coherent dynamics in balanced excitatory-inhibitory spiking networks
Hongjie Bi, Matteo Di Volo, Alessandro Torcini
Dynamic excitatory-inhibitory (E-I) balance is a paradigmatic mechanism invoked to explain the irregular low firing activity observed in the cortex. However, we will show that the…
A reduction methodology for fluctuation driven population dynamics
Denis S. Goldobin, Matteo di Volo, Alessandro Torcini
Lorentzian distributions have been largely employed in statistical mechanics to obtain exact results for heterogeneous systems. Analytic continuation of these results is impossible…
Optimal responsiveness and collective oscillations emerging from the heterogeneity of inhibitory neurons
Matteo di Volo, Alain Destexhe
The brain is characterized by a strong heterogeneity of inhibitory neurons. We report that spiking neural networks display a resonance to the heterogeneity of inhibitory neurons, w…
Coexistence of fast and slow gamma oscillations in one population of inhibitory spiking neurons
Hongjie Bi, Marco Segneri, Matteo di Volo +1
Oscillations are a hallmark of neural population activity in various brain regions with a spectrum covering a wide range of frequencies. Within this spectrum gamma oscillations hav…
Cholinergic switch between two types of slow waves in cerebral cortex
Trang-Anh E. Nghiem, Núria Tort-Colet, Tomasz Górski +8
Sleep slow waves are known to participate in memory consolidation, yet slow waves occurring under anesthesia present no positive effects on memory. Here, we shed light onto this pa…
Transition from asynchronous to oscillatory dynamics in balanced spiking networks with instantaneous synapses
Matteo di Volo, Alessandro Torcini
We report a transition from asynchronous to oscillatory behaviour in balanced inhibitory networks for class I and II neurons with instantaneous synapses. Collective oscillations em…
Synchronization and long-time memory in neural networks with inhibitory hubs and synaptic plasticity
Elena Bertolotti, Raffaella Burioni, Matteo di Volo +1
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…
Chaos and correlated avalanches in excitatory neural networks with synaptic plasticity
Fabrizio Pittorino, Miguel Ibáñez-Berganza, Matteo di Volo +2
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…
Neural networks with excitatory and inhibitory components: direct and inverse problems by a mean-field approach
M. di Volo, R. Burioni, M. Casartelli +2
We study the dynamics of networks with inhibitory and excitatory leaky-integrate-and-fire neurons with short-term synaptic plasticity in the presence of depressive and facilitating…
Heterogeneous Mean Field for neural networks with short term plasticity
Matteo di Volo, Raffaella Burioni, Mario Casartelli +2
We report about the main dynamical features of a model of leaky-integrate-and fire excitatory neurons with short term plasticity defined on random massive networks. We investigate…
A microscopic mechanism for self-organized quasi periodicity in random networks of non linear oscillators
Raffaella Burioni, Serena Di Santo, Matteo di Volo +1
Self-organized quasi periodicity is one of the most puzzling dynamical phases observed in systems of non linear coupled oscillators. The single dynamical units are not locked to th…
Average synaptic activity and neural networks topology: a global inverse problem
Raffaella Burioni, Mario Casartelli, Matteo di Volo +2
The dynamics of neural networks is often characterized by collective behavior and quasi-synchronous events, where a large fraction of neurons fire in short time intervals, separate…