33 citations · 159 across the 10 of their papers we have counts for
10 papers
A theory for self-sustained balanced states in absence of strong external currents
David Angulo-Garcia, Alessandro Torcini
Recurrent neural networks with balanced excitation and inhibition exhibit irregular asynchronous dynamics, which is fundamental for cortical computations. Classical balance mechani…
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…
Greedy optimization for growing spatially embedded oscillatory networks
Damien Beecroft, Juan G. Restrepo, David Angulo-Garcia
The coupling of some types of oscillators requires the mediation of a physical link between them, rendering the distance between oscillators a critical factor to achieve synchroniz…
Cross frequency coupling in next generation inhibitory neural mass models
Andrea Ceni, Simona Olmi, Alessandro Torcini +1
Coupling among neural rhythms is one of the most important mechanisms at the basis of cognitive processes in the brain. In this study we consider a neural mass model, rigorously ob…
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…
Exact firing time statistics of neurons driven by discrete inhibitory noise
Simona Olmi, David Angulo-Garcia, Alberto Imparato +1
Neurons in the intact brain receive a continuous and irregular synaptic bombardment from excitatory and inhibitory pre-synaptic neurons, which determines the firing activity of the…
Death and rebirth of neural activity in sparse inhibitory networks
David Angulo-Garcia, Stefano Luccioli, Simona Olmi +1
In this paper, we clarify the mechanisms underlying a general phenomenon present in pulse-coupled heterogeneous inhibitory networks: inhibition can induce not only suppression of t…
Cell assembly dynamics of sparsely-connected inhibitory networks: a simple model for the collective activity of striatal projection neurons
David Angulo-Garcia, Joshua D. Berke, Alessandro Torcini
Striatal projection neurons form a sparsely-connected inhibitory network, and this arrangement may be essential for the appropriate temporal organization of behavior. Here we show…
Stochastic mean field formulation of the dynamics of diluted neural networks
D. Angulo-Garcia, A. Torcini
We consider pulse-coupled Leaky Integrate-and-Fire neural networks with randomly distributed synaptic couplings. This random dilution induces fluctuations in the evolution of the m…
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…