Analysis of Neurodynamics on Phase Neural Coding in the Presence of Inhibitory Neurons
Yan Liu1; Rubin Wang1; Zhikang Zhang1; Xianfa Jiao1,2
1.East China University of Science and Technology, Institute for Cognitive Neurodynamics,Shanghai,200237;2. Hefei University of Technology, Department of Mathematics ,School of Science, Hefei)
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.
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]. , 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. , 2010, 29(12): 1-7,17.
2010, Vol. 29 
