【摘要】 文章考虑神经元突触之间信息传递具有动态随机性,建立了连续型概率耦合函数作用下的全局耦合神经振子集群的相位演化模型,引入数密度描述神经振子集群的同步状态,进而推导出了平均数密度的动态演化方程。数值模拟表明,神经振子集群在概率耦合机制下神经振子的同步活动加强;刺激强度越大,神经振子集群的同步程度越高;当系统特征频率接近刺激频率时,神经振子集群的数密度呈现周期性振荡行为。更多还原

【Abstract】 Considering the dynamic randomness of information transfer between the synapses of neurons, a phase evolution model of globally coupled neuronal oscillator population under the action of continuous probabilistic coupling function is established. The synchronous state is described by introducing number density, and the dynamic evolution equation of average number density is derived. The results of numerical simulations indicate that the synchronic activity of the neural oscillator is strengthened under the probabilistic coupling mechanism. Stimulus with stronger intensity leads to higher synchronization degree. If the stimulus frequency is close to the population characteristic frequency, neuronal population exhibits periodic oscillation behavior.更多还原