61 citations · 154 across the 10 of their papers we have counts for
6 papers · 1 filter
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…
Qualitative Stability and Synchronicity Analysis of Power Network Models in Port-Hamiltonian Form
Volker Mehrmann, Riccardo Morandin, Simona Olmi +1
In view of highly decentralized and diversified power generation concepts, in particular with renewable energies such as wind and solar power, the analysis and control of the stabi…
Collective behavior of oscillating electric dipoles
Simona Olmi, Matteo Gori, Irene Donato +1
The present work reports about the dynamics of a collection of randomly distributed, and randomly oriented, oscillators in 3D space, coupled by an interaction potential falling as…
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…
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…