抑制性神经元作用下相位神经编码的神经动力学分析

PDF(3151 KB)

振动与冲击 ›› 2010, Vol. 29 ›› Issue (12) : 1-7,17.

论文

抑制性神经元作用下相位神经编码的神经动力学分析

刘艳1; 王如彬1; 张志康1; 焦贤发1, 2

作者信息 +

Analysis of Neurodynamics on Phase Neural Coding in the Presence of Inhibitory Neurons

Yan Liu1; Rubin Wang1; Zhikang Zhang1; Xianfa Jiao1,2

Author information +

文章历史 +

摘要

本文在考虑抑制性神经元作用的情况下，利用随机相变动力学理论对由神经振子群组成的神经网络进行相位编码的分析研
究。建立了一种抑制性神经元耦合作用下的随机非线性相变动力学模型，并依据所建立的模型对其自发活动以及在刺激作用下的动
态演化过程进行数值分析。研究结果表明网络中抑制性神经元的存在能够降低兴奋性神经振子集群的数密度的幅值，并且抑制性神
经元耦合系数的增大能够控制兴奋性神经振子集群的变化趋势。在刺激条件下，随着刺激强度的变化能够改变神经振子的发放频率。
并且我们还考察了不同刺激情况下的相位编码的数密度演化。

Abstract

In this paper , the phase coding in the neural network composed of neural oscillator population is studied by
the theory of the stochastic phase dynamics under the presence of inhibitory neurons. A Stochastic nonlinear phase
dynamic model is presented under coupling action of inhibitory neurons, and dynamic evolution process and
spontaneous behavior is numerically analyzed subjected to simulation according to the model. The research results
indicate that inhibitory neurons can reduce the amplitude of the average number density in excitatory neural oscillator
population, and trend of the synchronization motion of excitatory neural oscillator population can be controlled through
increasing coupling coefficient of inhibitory neurons. Firing density of population of neural oscillator and evolution of
average number density is researched through variety of the stimulation intensity.

导出引用

刘艳;王如彬;张志康;焦贤发;. 抑制性神经元作用下相位神经编码的神经动力学分析[J]. 振动与冲击, 2010, 29(12): 1-7,17

Yan Liu;Rubin Wang;Zhikang Zhang;Xianfa Jiao;. Analysis of Neurodynamics on Phase Neural Coding in the Presence of Inhibitory Neurons[J]. Journal of Vibration and Shock, 2010, 29(12): 1-7,17