Noise and coupling induced synchronization in a network of chaotic neurons

Year: 2013

Authors: Ciszak M., Euzzor S., Geltrude A., Arecchi F.T., Meucci R.

Autors Affiliation: CNR-Istituto Nazionale di Ottica, Largo E. Fermi 6, 50125 Firenze, Italy; Dipartimento di Fisica, Università di Firenze, Sesto Fiorentino (FI), Italy

Abstract: The synchronization in four forced FitzHugh-Nagumo (FHN) systems is studied, both experimentally and by numerical simulations of a model. We show that synchronization may be achieved either by coupling of systems through bidirectional diffusive interactions, by introducing a common noise to all systems or by combining both ingredients, noise and coupling together. Here we consider white and colored noises, showing that the colored noise is more efficient in synchronizing the systems respect to white noise. Moreover, a small addition of common noise allows the synchronization to occur at smaller values of the coupling strength. When the diffusive coupling in the absence of noise is considered, the system undergoes the transition to subthreshold oscillations, giving a spike suppression regime. We show that noise destroys the appearance of this dynamical regime induced by coupling. (C) 2012 Elsevier B.V. All rights reserved.

Journal/Review: COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION

Volume: 18 (4)      Pages from: 938  to: 945

More Information: Work partly supported by Ente Cassa di Risparmio di Firenze. MC acknowledges MC-ERG (within 7th EC Programme) and C. Ciamberlini (CNR-INO Firenze) for technical support in Centro Calcolo.
KeyWords: Chaotic neurons; Colored noise; Common noise; Coupling strengths; Diffusive coupling; Dynamical regime; Electronic neurons; Network synchronization; Spike suppressions; Subthreshold, White noise, Synchronization
DOI: 10.1016/j.cnsns.2012.08.038

Citations: 10
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