会议专题

Parameter Estimation in Hodgkin-Huxley Model with Adaptive Method

Neuron models are highly nonlinear and involve many electrophysiological variables and parameters, only some of the variables are easily measured experimentally, while other parameters are difficult to experimentally determine. However, successful estimation of the unknown parameters often cannot be guaranteed. In this paper, we proposed a model reference adaptive method to estimate different parameters of a neuron model (the H-H model as an example) simultaneously. Simulation result of two parameters is accurate as the values we set in the HH model. However, overshoot occurs when we estimate three parameters with different orders of magnitude. By adjusting the coefficients to control the learning rates of different parameters, a good simulation result has been acquired efficiently. This method can also be applied to estimate parameters in other nonlinear systems.

H-H model parameter estimation model reference adaptive metod overshoot solution

Jianbing Sun Bin Deng Xile Wei Chenhui Jia Jiang Wang Jia Zhao

School of Electrical Engineering and Automation Tianjin University Tianjin, China

国际会议

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)

上海

英文

1865-1869

2011-10-15(万方平台首次上网日期,不代表论文的发表时间)