Coherence resonance in the FitzHugh–Nagumo neurons models driven by bounded noise

Abstract

We investigate coherence resonance (CR) in the FitzHugh–Nagumo (FHN) neurons models driven by bounded noise. By considering the coefficient of coherence resonance as a ratio, it is numerically demonstrated that bounded noise can cause CR by adjusting either the intensity of bounded noise or its frequency. When the intensity and frequency of bounded noise take certain limited values respectively, the strongest CR phenomenon is produced.