Detecting and quantifying stochastic and coherence resonances via information-theory complexity measurements

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 ex...

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Autores principales: Rosso, O.A., Masoller, C.
Formato: JOUR
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_15393755_v79_n4_p_Rosso
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spelling todo:paper_15393755_v79_n4_p_Rosso2023-10-03T16:22:24Z Detecting and quantifying stochastic and coherence resonances via information-theory complexity measurements Rosso, O.A. Masoller, C. Bistable potential Brownian particles Coherence resonance Complex signal Complexity measurement Excitable systems FitzHugh-Nagumo model Induced order Real-world Statistical complexity Resonance Random processes 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. © 2009 The American Physical Society. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_15393755_v79_n4_p_Rosso
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Bistable potential
Brownian particles
Coherence resonance
Complex signal
Complexity measurement
Excitable systems
FitzHugh-Nagumo model
Induced order
Real-world
Statistical complexity
Resonance
Random processes
spellingShingle Bistable potential
Brownian particles
Coherence resonance
Complex signal
Complexity measurement
Excitable systems
FitzHugh-Nagumo model
Induced order
Real-world
Statistical complexity
Resonance
Random processes
Rosso, O.A.
Masoller, C.
Detecting and quantifying stochastic and coherence resonances via information-theory complexity measurements
topic_facet Bistable potential
Brownian particles
Coherence resonance
Complex signal
Complexity measurement
Excitable systems
FitzHugh-Nagumo model
Induced order
Real-world
Statistical complexity
Resonance
Random processes
description 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. © 2009 The American Physical Society.
format JOUR
author Rosso, O.A.
Masoller, C.
author_facet Rosso, O.A.
Masoller, C.
author_sort Rosso, O.A.
title Detecting and quantifying stochastic and coherence resonances via information-theory complexity measurements
title_short Detecting and quantifying stochastic and coherence resonances via information-theory complexity measurements
title_full Detecting and quantifying stochastic and coherence resonances via information-theory complexity measurements
title_fullStr Detecting and quantifying stochastic and coherence resonances via information-theory complexity measurements
title_full_unstemmed Detecting and quantifying stochastic and coherence resonances via information-theory complexity measurements
title_sort detecting and quantifying stochastic and coherence resonances via information-theory complexity measurements
url http://hdl.handle.net/20.500.12110/paper_15393755_v79_n4_p_Rosso
work_keys_str_mv AT rossooa detectingandquantifyingstochasticandcoherenceresonancesviainformationtheorycomplexitymeasurements
AT masollerc detectingandquantifyingstochasticandcoherenceresonancesviainformationtheorycomplexitymeasurements
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