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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Detalles Bibliográficos
Publicado: 2009
Materias:
Bistable potential
Brownian particles
Coherence resonance
Complex signal
Complexity measurement
Excitable systems
FitzHugh-Nagumo model
Induced order
Real-world
Statistical complexity
Resonance
Random processes
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15393755_v79_n4_p_Rosso
http://hdl.handle.net/20.500.12110/paper_15393755_v79_n4_p_Rosso
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_15393755_v79_n4_p_Rosso
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spelling paper:paper_15393755_v79_n4_p_Rosso2023-06-08T16:20:40Z Detecting and quantifying stochastic and coherence resonances via information-theory complexity measurements 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. 2009 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15393755_v79_n4_p_Rosso 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
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.
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
publishDate 2009
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15393755_v79_n4_p_Rosso
http://hdl.handle.net/20.500.12110/paper_15393755_v79_n4_p_Rosso
_version_ 1768544465083957248

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