Inverse stochastic resonance in Izhikevich neural motifs driven by Gaussian colored noise under electromagnetic induction

Abstract

Inverse stochastic resonance (ISR) is a modality of nonlinear response to noise, there is the biggest inhibitory effect of noise on neural electrical activity when the ISR happens. In this paper, the discharge activity of a triple-neuron feed-forward-loop (FFL) motif is investigated under the Gaussian colored noise and electromagnetic induction, where the FFL motif is constructed by Izhikevich neurons and connected by chemical synapse and the FFL motifs are classified into four types by the character of synaptic current. Here, the ISR induced by the Gaussian colored noise and electromagnetic induction is focused and various effects of different system parameters on ISR have been found. The most prominent ISR phenomenon will be seen in the case of low-input current and low cross-correlation ratio. There are no significant differences in the ISR curves for various chemical coupling strengths and chemical synapse delays, which conforms to the dynamic mechanisms of the ISR behavior. Besides, the ISR phenomenon also ensues under low electromagnetic induction levels and the effects of electromagnetic induction on the ISR are discussed. The results found here provide a novel perspective about the inhibitory effect on neural motif, which might help the biologists and pathologists understand some complex physiological phenomena of the nervous systems.