极低频外电场作用下神经元网络适应性的分析.pdfVIP

ABSTRACT Nerve system is a complex, nonlinear system whose basic unit is neuron. Spike-frequency adaptation is a prominent aspect of neuronal dynamics, playing an important role in neural information processing. The external electric field has an effect on the dynamic behavior of the neural system, affecting the generation and conduction of neural information. First ，the single neuron model under the external electric field is established, by numerical analysis, we get the membrane potential changing curve and spike frequency curve changing with time, the onset spike frequency curve changing with the input signal; by analyzing the serial correlation between successive inter-spike intervals (ISIs), we find that the single neuron model has better adaptability with weak DC electric field amplitude. For the AC electric field, with weak amplitude and high frequency, the single neuron model shows good adaptability. Second, we establish the two coupled neuron model. By numerical analysis, we find that when the stimulus signal is very strong, the two coupled neuron model will show the phenomenon of synchronous. From the spike frequency curve and the analysis of the ISI correlation, we also find the effect of the external electric field on the coupled neuron model. Last, with the method of the random weight suggested by Strogatz and Watts, we establish the small network model. From the spike frequency curve and the analysis of the spike frequency, we find parameters of the rewiring probability and the number of neurons has no obvious effect on the adaptability of the model, but the coupling strength will have a significant effect. By choosing appropriate parameters, we find when the small networ