title: Detecting and quantifying stochastic and coherence resonances via information-theory complexity measurements.
abstract: Statistical complexity measures are used to detect noise-induced order and to quantify stochastic and coherence resonances. We illustrate the method with two paradigmatic models, one of a Brownian particle in a sinusoidally modulated bistable potential, and the other, the FitzHugh-Nagumo model of excitable systems. The method can be employed for the precise detection of subtle signatures of noise-induced order in real-world complex signals.
authors.affiliation: Centre for Bioinformatics, School of Electrical Engineering and Computer Science, The University of Newcastle, University Drive, Callaghan, New South Wales 2308, Australia.
authors.forename: Osvaldo A
authors.initials: OA
authors.lastname: Rosso
authors.forename: Cristina
authors.initials: C
authors.lastname: Masoller