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Competition model for aperiodic stochastic resonance in a Fitzhugh-Nagumo model of cardiac sensory neurons

dc.contributor.authorKember, G. C.en_US
dc.contributor.authorFenton, G. A.en_US
dc.contributor.authorArmour, J. A.en_US
dc.contributor.authorKalyaniwalla, N.en_US
dc.date.accessioned2014-03-25T14:37:17Z
dc.date.available2014-03-25T14:37:17Z
dc.date.issued2001en_US
dc.description.abstractA model is presented to access the cause and effect between noisy threshold inputs and the average firing rate generated by neuron. The neural control in the heart in aperiodic stochastic resonance (ASR) was partially exerted using subthreshold inputs amplified by noisy fluctuations. The result exhibited a reduction in correlation measures with the lowering of firing rate.en_US
dc.identifier.citationKember, G. C., G. A. Fenton, J. A. Armour, and N. Kalyaniwalla. 2001. "Competition model for aperiodic stochastic resonance in a Fitzhugh-Nagumo model of cardiac sensory neurons." Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 63(4): 419111-419116. doi:10.1103/PhysRevE.63.041911en_US
dc.identifier.issn15393755en_US
dc.identifier.issue4en_US
dc.identifier.startpage419111en_US
dc.identifier.urihttp://dx.doi.org/10.1103/PhysRevE.63.041911en_US
dc.identifier.urihttp://hdl.handle.net/10222/45823
dc.identifier.volume63en_US
dc.publisherAmerican Institute of Physics Incen_US
dc.relation.ispartofPhysical Review E - Statistical, Nonlinear, and Soft Matter Physicsen_US
dc.rights.holder©2001 American Physical Society
dc.titleCompetition model for aperiodic stochastic resonance in a Fitzhugh-Nagumo model of cardiac sensory neuronsen_US
dc.typeTexten_US

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