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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Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_15393755_v79_n4_p_Rosso |
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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 |
_version_ |
1807323073113751552 |