Frequency Effect of Harmonic Noise on the FitzHugh–Nagumo Neuron Model

Using harmonic noise, the frequency effect of noise on the FitzHugh–Nagumo neuron model is investigated. The results show that the neuron has a resonance characteristic and responds strongly to the noise with a certain frequency at fixed power. Driven by the noise with this frequency, the train is most regular and the coefficient of variation R has a minimum. The imperfect synchronization takes place, which, however, is optimal only for noise with an appropriate frequency. It is shown that there exists coherence resonance related to frequency.