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20212026
most citedSelf-consistent stochastic dynamics for finite-size networks of spiking neurons

17 citations · 18 across the 9 of their papers we have counts for

collaborators

10 papers

q-bio.NC2026

Spectral theory for population density dynamics of spiking neurons with refractoriness

Luca Falorsi, Gianni Valerio Vinci., Maurizio Mattia

Incorporating an absolute refractory period into the population density approach for spiking neurons remains an open problem, despite evidence that refractoriness can strongly affe…

cond-mat.dis-nn2025

Non-stationary dynamics of interspike intervals in neuronal populations

Luca Falorsi, Gianni V. Vinci, Maurizio Mattia

We study the joint dynamics of membrane potential and time since the last spike in a population of integrate-and-fire neurons using a population density framework. This leads to a…

cond-mat.stat-mech2025

Moment closure through spectral expansion in open stochastic systems

Gianni Valerio Vinci, Roberto Benzi, Maurizio Mattia

The derivation of dynamical laws for general observables (or moments) from the master equation for the probability distribution remains a challenging problem in statistical physics…

cond-mat.stat-mech2025

Self-consistent moment dynamics for networks of spiking neurons

Gianni Valerio Vinci, Roberto Benzi, Maurizio Mattia

A novel approach to moment closure problem is used to derive low dimensional laws for the dynamics of the moments of the membrane potential distribution in a population of spiking…

cond-mat.dis-nn2025

Beyond catastrophic forgetting in associative networks with self-interactions

Gianni V. Vinci, Andrea Galluzzi, Maurizio Mattia

Spin-glass models of associative memories are a cornerstone between statistical physics and theoretical neuroscience. In these networks, stochastic spin-like units interact through…

cond-mat.stat-mech2024★ 1 cited

Non-linear correlations underlie linear response and causality

Gabriele Di Antonio, Gianni Valerio Vinci

The inference of causal relationships among observed variables is a pivotal, longstanding problem in the scientific community. An intuitive method for quantifying these causal link…

q-bio.NC2024

Escape time in bistable neuronal populations driven by colored synaptic noise

Gianni Valerio Vinci, Maurizio Mattia

Local networks of neurons are nonlinear systems driven by synaptic currents elicited by its own spiking activity and the input received from other brain areas. Synaptic currents ar…

physics.soc-ph2023

The Rise of Rationality in Blockchain Dynamics

Gabriele Di Antonio, Gianni Valerio Vinci, Luciano Pietronero +1

Taking informed decisions, namely acting rationally, is an individual attitude of paramount relevance in nature and human societies. In this work, we study how rationality spreads…

q-bio.NC2021★ 17 cited

Self-consistent stochastic dynamics for finite-size networks of spiking neurons

Gianni V. Vinci, Roberto Benzi, Maurizio Mattia

Despite the huge number of neurons composing a brain network, ongoing activity of local cell assemblies composing cortical columns is intrinsically stochastic. Fluctuations in thei…

q-bio.NC2021

A `Rosetta stone' for the population dynamics of spiking neuron networks

Gianni V. Vinci, Maurizio Mattia

Populations of spiking neuron models have densities of their microscopic variables (e.g., single-cell membrane potentials) whose evolution fully capture the collective dynamics of…