Neurodynamics analysis on phase neural coding in the presence of inhibitory neurons
Jiao Xian-fa · Zhendong yu chongji · 2010
The phase coding in the neural network composed of neural oscillator population was studied in accordance with the theory of stochastic phase dynamics in the presence of inhibitory neurons.A stochastic nonlinear phase dynamic model was presented under coupling action of inhibitory neurons,and the dynamic evolution process and spontaneous behavior were numerically analyzed by use of simulation according to the model.The results indicate that inhibitory neurons can reduce the amplitude of average number density in excitatory neural oscillator population,and the trend of synchronization motion of excitatory neural oscillator population can be controlled through increasing coupling coefficient of inhibitory neurons.The firing density of population of neural oscillator and the evolution of average number density were investigated by varying the stimulation intensity.