170 citations · 3k across the 103 of their papers we have counts for
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Is the cortical dynamics ergodic? A numerical study in partially symmetric networks of spiking neurons
Ferdinand Tixidre, Gianluigi Mongillo, Alessandro Torcini
Cortical activity in-vivo displays relaxational time scales much longer than the membrane time constant of the neurons or the deactivation time of ionotropic synaptic conductances.…
Synaptic shot-noise triggers fast and slow global oscillations in balanced neural networks
Denis S. Goldobin, Maria V. Ageeva, Matteo di Volo +2
Neural dynamics is determined by the transmission of discrete synaptic pulses (synaptic shot-noise) among neurons. However, the neural responses are usually obtained within the dif…
Chaotic synchronization in adaptive networks of pulse-coupled oscillators
German Mato, Antonio Politi, Alessandro Torcini
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-co…
Coexistence of asynchronous and clustered dynamics in noisy inhibitory neural networks
Yannick Feld, Alexander K. Hartmann, Alessandro Torcini
A regime of coexistence of asynchronous and clustered dynamics is analyzed for globally coupled homogeneous and heterogeneous inhibitory networks of quadratic integrate-and-fire (Q…
A robust balancing mechanism for spiking neural networks
Antonio Politi, Alessandro Torcini
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 mecha…
Population spiking and bursting in next generation neural masses with spike-frequency adaptation
Alberto Ferrara, David Angulo-Garcia, Alessandro Torcini +1
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…
Collective excitability in highly diluted networks of rotators
Gabriele Paolini, Marzena Ciszak, Francesco Marino +2
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 d…
Neural Activity of Heterogeneous Inhibitory Spiking Networks with Delay
Stefano Luccioli, David Angulo Garcia, Alessandro Torcini
We study a network of spiking neurons with heterogeneous excitabilities connected via inhibitory delayed pulses. For globally coupled systems the increase of the inhibitory couplin…
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…
Chimera states in pulse coupled neural networks: the influence of dilution and noise
Simona Olmi, Alessandro Torcini
We analyse the possible dynamical states emerging for two symmetrically pulse coupled populations of leaky integrate-and-fire neurons. In particular, we observe broken symmetry sta…
Dynamics of fully coupled rotators with unimodal and bimodal frequency distribution
Simona Olmi, Alessandro Torcini
We analyze the synchronization transition of a globally coupled network of N phase oscillators with inertia (rotators) whose natural frequencies are unimodally or bimodally distrib…
Hysteretic transitions in the Kuramoto model with inertia
Simona Olmi, Adrian Navas, Stefano Boccaletti +1
We report finite size numerical investigations and mean field analysis of a Kuramoto model with inertia for fully coupled and diluted systems. In particular, we examine for a Gauss…
Sisyphus Effect in Pulse Coupled Excitatory Neural Networks with Spike-Timing Dependent Plasticity
Kaare Mikkelsen, Alberto Imparato, Alessandro Torcini
The collective dynamics of excitatory pulse coupled neural networks with spike timing dependent plasticity (STDP) is studied. Depending on the model parameters stationary states ch…
Stable chaos in fluctuation driven neural circuits
David Angulo-Garcia, Alessandro Torcini
We study the dynamical stability of pulse coupled networks of leaky integrate-and-fire neurons against infinitesimal and finite perturbations. In particular, we compare current ver…
Linear stability in networks of pulse-coupled neurons
Simona Olmi, Antonio Politi, Alessandro Torcini
In a first step towards the comprehension of neural activity, one should focus on the stability of the various dynamical states. Even the characterization of idealized regimes, suc…
Collective dynamics in sparse networks
Stefano Luccioli, Simona Olmi, Antonio Politi +1
The microscopic and macroscopic dynamics of random networks is investigated in the strong-dilution limit (i.e. for sparse networks). By simulating chaotic maps, Stuart-Landau oscil…
Stability of the splay state in networks of pulse-coupled neurons
Simona Olmi, Antonio Politi, Alessandro Torcini
We analytically investigate the stability of {\it splay states} in networks of pulse-coupled phase-like models of neurons. By developing a perturbative technique, we find that,…
Splay states in finite pulse-coupled networks of excitable neurons
Mario Dipoppa, Martin Krupa, Alessandro Torcini +1
The emergence and stability of splay states is studied in fully coupled finite networks of N excitable quadratic integrate-and-fire neurons, connected via synapses modeled as pulse…
Coherent periodic activity in excitatory Erdos-Renyi neural networks:The role of network connectivity
Lorenzo Tattini, Simona Olmi, Alessandro Torcini
We consider an excitatory random network of leaky integrate-and-fire pulse coupled neurons. The neurons are connected as in a directed Erdös-Renyi graph with average connectivity $…
Discrete Breathers in a Realistic Coarse-Grained Model of Proteins
S. Luccioli, A. Imparato, S. Lepri +2
We report the results of molecular dynamics simulations of an off-lattice protein model featuring a physical force-field and amino-acid sequence. We show that localized modes of no…
Collective chaos in pulse-coupled neural networks
Simona Olmi, Antonio Politi, Alessandro Torcini
We study the dynamics of two symmetrically coupled populations of identical leaky integrate-and-fire neurons characterized by an excitatory coupling. Upon varying the coupling stre…
Collective oscillations in disordered neural networks
Simona Olmi, Roberto Livi, Antonio Politi +1
We investigate the onset of collective oscillations in a network of pulse-coupled leaky-integrate-and-fire neurons in the presence of quenched and annealed disorder. We find that t…
Stability of splay states in globally coupled rotators
Massimo Calamai, Antonio Politi, Alessandro Torcini
The stability of dynamical states characterized by a uniform firing rate ({\it splay states}) is analyzed in a network of globally pulse-coupled rotators (neurons) subject to a…
Stability of the splay state in pulse--coupled networks
Rüdiger Zillmer, Roberto Livi, Antonio Politi +1
The stability of the dynamical states characterized by a uniform firing rate ({\it splay states}) is analyzed in a network of globally coupled leaky integrate-and-fire neurons. Thi…