Study of Coherence Resonance in Carbon Nanotube Gas-Ionization Sensor System Using Leaky Integrate-and-Fire Model

Abstract

Coherence resonance in carbon nanotube gas-ionization sensor system was focused in this article. Firstly, experimental step was held: Gaussian white noise was added to the system. With the increase of noise intensity, electrical breakdown density became more and more intensive. The sensor system reached its electrical breakdown state at a lower interelectrode potential. Secondly, Based on the former study of coherence resonance in single leaky integrate-and-fire (LIF) neuron model, a nano-neuron array was proposed to give an explanation to the experimental results. Potential of each nano-neuron in the nano-neuron array varied according to noise intensity shift. With proper noise intensity, the amount of excitatory nano-neurons was enough to generate spike trains, which is the corresponding period of compact electrical breakdown.