Abstract
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.
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Acknowledgment
This research was supported by the Shandong Provincial Natural Science Foundation, China (No. ZR2018LF005), the National Key Research and Development Program of China (No. 2016YFC0106000), the Natural Science Foundation of China (Grant No. 61302128), the Youth Science and Technology Star Program of Jinan City (201406003), the Nature Science Research Fund of Jiangsu Province of China (No. BK20161165), and the applied fundamental research Foundation of Xuzhou of China (No. KC17072).
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Jiang, Z., Wang, D., Shang, H., Chen, Y. (2019). Simulation of Complex Neural Firing Patterns Based on Improved Deterministic Chay Model. In: Huang, DS., Jo, KH., Huang, ZK. (eds) Intelligent Computing Theories and Application. ICIC 2019. Lecture Notes in Computer Science(), vol 11644. Springer, Cham. https://doi.org/10.1007/978-3-030-26969-2_15
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DOI: https://doi.org/10.1007/978-3-030-26969-2_15
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