以H-H模型为研究对象,通过改变方程中表征神经元可兴奋性的参数。用数值分析的方法考察可兴奋神经元的动力学性质.结果表明。可兴奋性控制参数越高的神经元,动作电位发生的阈值越大,所能承受的刺激范围也越大.每种神经元都有一个特定的参数域,当参数在其中变化时,神经元对于恒定刺激的反应是混沌的,
Under the Hodgkin-Huxley (H-H) model, and using numerical method, the nonlinear dynamical properties of excitable neurons are studied through changing of the parameters that stand for the excitability of neurons in the model. The result shows that the larger the parameters are, the higher becomes the threshold that the action potential taking place and the larger the range of stimulation that the neurons can bear. It also shows that there is a special parameter domain for each kind of neuron. When the parameter is changing within the domain, the response of neurons to a constant stimulation is chaotic.