刺激下可变耦合神经振子群活动的非线性随机演化模型

考虑耦合强度随时间变化,提出在外刺激及噪声共同作用下神经振子群活动的动力学模型,并引入平均耦合对数密度作为神经振子群分布式时空编码模式.通过数值分析表明,一阶弱谐波刺激对神经振子群体编码没有显著的影响;强刺激或高阶谐波刺激加强了神经振子群的同步化活动,并增强了神经振子之间的耦合;不同频率谐波的组合刺激对神经编码的影响并不是相互独立的,而是具有某种非线性关系,且刺激强度较大的谐波主导神经编码.

Nonlinear Stochastic Evolution Model of Variable Coupled Neuronal Oscillator Population in the Presence of External Stimuli

A dynamical model of activity of neuronal oscillator population subject to external stimulation and noise is presented, where the coupling strengths among the neuronal oscillators vary with time. An average coupling-pair number density, which is used as a distributed coding pattern of population of neuronal oscillators, is proposed. The numerical simulations indicate that a weak stimulation of harmonic of the first order has little impact on the neural coding, a strong stimulation or a stimulation of harmonic of higher order enhances the synchronized activity of population of neuronal oscillators and the coupling among the neuronal oscillators. In addition, the combined stimuli of harmonics with different orders have correlative impact on the neural coding, and the stimulation with the stronger intensity dominates the neural coding.