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20172021
most citedNoise driven neuromorphic tuned amplifier

20 citations · 20 across the 1 of their papers we have counts for

collaborators

5 papers

cond-mat.stat-mech2021

Spectroscopy of phase transitions for multiagent systems

Niccolo Zagli, Valerio Lucarini, Grigorios. A. Pavliotis

In this paper we study phase transitions for weakly interacting multiagent systems. By investigating the linear response of a system composed of a finite number of agents, we are a…

cond-mat.stat-mech2020

Response Theory and Phase Transitions for the Thermodynamic Limit of Interacting Identical Systems

Valerio Lucarini, G. A. Pavliotis, Niccolò Zagli

We study the response to perturbations in the thermodynamic limit of a network of coupled identical agents undergoing a stochastic evolution which, in general, describes non-equili…

cond-mat.dis-nn2019

Resilience for stochastic systems interacting via a quasi-degenerate network

Sara Nicoletti, Duccio Fanelli, Niccolò Zagli +6

A stochastic reaction-diffusion model is studied on a networked support. In each patch of the network two species are assumed to interact following a non-normal reaction scheme. Wh…

cond-mat.stat-mech2018

Non normal amplification of stochastic quasi-cycles

Sara Nicoletti, Niccolò Zagli, Duccio Fanelli +3

Stochastic quasi-cycles for a two species model of the excitatory-inhibitory type, arranged on a triangular loop, are studied. By increasing the strength of the inter-nodes couplin…

cond-mat.dis-nn201720 cited

Noise driven neuromorphic tuned amplifier

Duccio Fanelli, Francesco Ginelli, Roberto Livi +2

Living systems implement and execute an extraordinary plethora of computational tasks. The inherent degree of large scale coordination emerges as a global property, from the intric…