Bifurcation scenarios in neural firing pattern transitions
神经放电节律转化的分岔序列模式

The firing patterns of a neuron would transit regularly and dynamically with respect to the dynamic variation of the input signals to the neuron. Such a dynamic transition thus represented the feature of the input signals. Neuron firing pattern transitions were governed by the bifurcation regularities. In this paper, the whole bifurcation scenarios in neural firing pattern transitions were simulated in Chay model. A series of bifurcation scenarios in the neural firing pattern transitions were simulated by adjusting the physiological parameters like (the reversal potential of calcium concentration) and in Chay model. Four types of bifurcation scenarios with respect to extracellular calcium concentration (Ca++]o) were discovered in experiments on neural pacemakers. The results not only verified the existence and complexity of various bifurcation scenarios in real neuronal systems, but also provided a theoretical foundation for the study of neural coding.