摘要
给出了更新过程的一种扩散逼近.然后讨论了在更新输入的情况下,应用IF模型对神经元系统构建矩神经网络,包括神经元发放脉冲(Spike)的一阶和二阶统计量.在讨论了矩神经网络的不变分布的同时,通过模拟给出了不同情形下的不动点和边界曲线.
We first derive a diffusion-type approximation of renewal processes. For renewal process inputs, then we discuss that the system of spiking neurons constructs the moment neuronal networks with IF model, it is specified in terms of the first- and second-order statistics of their interspike intervals, it is more conforming to the biological reality. Finally, we discuss the invariant distribution of moment neuronal networks and find the fixed points and the corresponding boundary line under different conditions by computer simulation.
出处
《湖南文理学院学报（自然科学版）》
CAS
2006年第4期21-24,共4页
Journal of Hunan University of Arts and Science(Science and Technology)
基金
湖南省教育厅(05C723)
湖南文理学院科研项目(JJQD05041)
关键词
IF模型
更新过程
矩神经网络
不动点
IF model
renewal processes
moment neuronal networks
fixed point
