突触信号传导的动态饱和模型研究

摘要

对一类动态饱和突触神经模型中信号传导性质进行了研究.模型的动态过程采用高阶Milstein随机微分方程解法进行求解,其信号输入输出特性用集平均互相关系数进行衡量.集平均互相关系数的数值分析结果表明,适宜的噪声能够增强信号传导,并且通过调节饱和势比值大小和突触神经群体数目,观测到噪声增强信号传导的非线性现象更加显著.%The synaptic signal transduction in a dynamical saturation neuron model is studied.At the pre-synaptic and post-synaptic stages,the evolution of neurotransmitter molecules in the synaptic cleft can be described by a dynamical saturation model.In the presence of noise,the signal transduction in this model is characterized by the ensemble-averaged correlation coefficient.The evolution of synaptic signal transmission is solved by the Milstein's high-order method of stochastic differential equation.The numerical result of the ensemble average correlation coefficient demonstrates the effect of noise-enhanced signal transduction in a single neuron model and an ensemble population of synaptic saturation neurons.Moreover,the noise-enhanced signal transduction effect is more visible by tuning the ratio of saturating current and the population of neurons.