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

Abstract

A 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.