Simulation of Complex Neural Firing Patterns Based on Improved Deterministic Chay Model

摘要

In this study, the deterministic Chay model is improved considering the K~+ channel opening probability during the generation of the generation mechanism of action potential. It can not only simulate the periodic firing, chaos and periodic-adding bifurcation that the original Chay model can simulate, but also simulate the rhythm that the original model cannot simulate, which enhances the simulation ability of the model. The simulation results show that the unification of certainty and randomness in the deterministic system for the first time.