activity
20052019
most citedCollective behavior of heterogeneous neural networks

87 citations · 447 across the 14 of their papers we have counts for

collaborators

14 papers

cond-mat.dis-nn2019★ 10 cited

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…

q-bio.NC2016★ 30 cited

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…

q-bio.NC2014★ 39 cited

Clique of functional hubs orchestrates population bursts in developmentally regulated neural networks

Stefano Luccioli, Eshel Ben-Jacob, Ari Barzilai +2

It has recently been discovered that single neuron stimulation can impact network dynamics in immature and adult neuronal circuits. Here we report a novel mechanism which can expla…

cond-mat.dis-nn2012★ 60 cited

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…

cond-mat.dis-nn2011★ 18 cited

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…

q-bio.NC2010★ 87 cited

Collective behavior of heterogeneous neural networks

Stefano Luccioli, Antonio Politi

We investigate a network of integrate-and-fire neurons characterized by a distribution of spiking frequencies. Upon increasing the coupling strength, the model exhibits a transitio…