Zobrazeno 1 - 10
of 344
pro vyhledávání: '"Torcini, Alessandro"'
Ensembles of phase-oscillators are known to exhibit a variety of collective regimes. Here, we show that a simple mean-field model involving two heterogenous populations of pulse-coupled oscillators, exhibits, in the strong-coupling limit, a robust ir
Externí odkaz:
http://arxiv.org/abs/2407.08453
In the last three decades it has become clear that cortical regions, interconnected via white-matter fibers, form a modular and hierarchical network. This organization, which has also been seen at the microscopic level in the form of interconnected n
Externí odkaz:
http://arxiv.org/abs/2405.18587
A regime of coexistence of asynchronous and clustered dynamics is analyzed for globally coupled homogeneous and heterogeneous inhibitory networks of quadratic integrate-and-fire (QIF) neurons subject to Gaussian noise. The analysis is based on accura
Externí odkaz:
http://arxiv.org/abs/2402.06548
Autor:
Politi, Antonio, Torcini, Alessandro
Dynamical balance of excitation and inhibition is usually invoked to explain the irregular low firing activity observed in the cortex. We propose a robust nonlinear balancing mechanism for a random network of spiking neurons, which works also in abse
Externí odkaz:
http://arxiv.org/abs/2401.12559
Neural dynamics is triggered by discrete synaptic inputs of finite amplitude. However, the neural response is usually obtained within the diffusion approximation (DA) representing the synaptic inputs as Gaussian noise. We derive a mean-field formalis
Externí odkaz:
http://arxiv.org/abs/2311.06159
Autor:
Carballosa, Alejandro, Muñuzuri, Alberto P., Boccaletti, Stefano, Torcini, Alessandro, Olmi, Simona
We have examined the synchronization and de-synchronization transitions observable in the Kuramoto model with a standard pair-wise first harmonic interaction plus a higher order (triadic) symmetric interaction for unimodal and bimodal Gaussian distri
Externí odkaz:
http://arxiv.org/abs/2308.05406
Spike-frequency adaptation (SFA) is a fundamental neuronal mechanism taking into account the fatigue due to spike emissions and the consequent reduction of the firing activity. We have studied the effect of this adaptation mechanism on the macroscopi
Externí odkaz:
http://arxiv.org/abs/2210.04673
We report on collective excitable events in a highly-diluted random network of non-excitable nodes. Excitability arises thanks to a self-sustained local adaptation mechanism that drives the system on a slow time-scale across a hysteretic phase transi
Externí odkaz:
http://arxiv.org/abs/2206.07112
Canards, special trajectories that follow invariant repelling slow manifolds for long time intervals, have been frequently observed in slow-fast systems of either biological, chemical and physical nature. Here, collective canard explosions are demons
Externí odkaz:
http://arxiv.org/abs/2110.10473
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. Depending on the param
Externí odkaz:
http://arxiv.org/abs/2110.09439