Action Potential Initial Dynamical Control of a Minimum Neuron Model

摘要：

Neuron encodes the information inputs from the dendrites by generating action potential sequences of different firing patterns. Different firing patterns result from different action potential initial dynamic mechanisms. The action potential initial dynamic mechanism is determined by the competition result between different dynamical currents in the sub-threshold potential. In this paper, we adopt a minimum neuron model, design a Wash-out filter from a physiological view to achieve the transition between different action potential initial dynamic mechanisms, and prove that the Wash-out filter controller can alters the action potential initial dynamic mechanism of neuron by affecting the result of competition between currents with different dynamics in the sub-threshold potential.

关键词： Action Potential Initial Dynamic Mechanism Sub-threshold Current Competition Minimum Neuron Model Washout Filter

作者: Yuliang Liu Yanqiu Che Yuliang Liu Jiang Wang Qitao Jin Bin Deng Xile Wei

作者单位: Tianjin Key Laboratory of Information Sensing & Intelligent Control Tianjin University of Technology School of Electrical and automation engineering Tianjin University Tianjin, P. R. China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 1832-1836

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）