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...
Guardado en:
Autores principales: | Rosso, O.A., Masoller, C. |
---|---|
Formato: | JOUR |
Materias: | |
Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_15393755_v79_n4_p_Rosso |
Aporte de: |
Ejemplares similares
-
Detecting and quantifying stochastic and coherence resonances via information-theory complexity measurements
Publicado: (2009) -
Detecting and quantifying temporal correlations in stochastic resonance via information theory measures
por: Rosso, O.A., et al. -
Detecting and quantifying temporal correlations in stochastic resonance via information theory measures
Publicado: (2009) -
An excitable electronic circuit as a sensory neuron model
Publicado: (2012) -
An excitable electronic circuit as a sensory neuron model
por: Medeiros, B.N.S., et al.