噪声诱导下单热敏神经元信号检测(英文)

Noise-induced signal detection for a single thermally sensitive neuron

利用热敏神经元动作电位发放图、ISI分叉图、功率谱密度(PSD)等,系统地研究了单热敏神经元在噪声诱导下的随机共振现象.通过对比分析发现分岔周期数为1或者2的情况下,存在一最优输入信号频率fopt,使得神经元输出信噪比(rSNR)最高.不同噪声强度D下,热敏神经元对输入信号检测能力各异,低噪声强度下检测能力较好.

The phenomenon of noise-induced stochastic resonance（SR） in a single thermally senstive neuron system has been studied with methods of action potential, inter spike interval（ISI） and power spectrum destiny（PSD）. After comparing, it is found that there exists such an optimal input frequency fop, that can generate the maximal signalto-noise ratio（rsNR） while the ISI bifurcation graph is period-1 or period-2. Under different noise intensity D, the thermal neuron takes on varied looks for the detecting ability.