Parameters Estimation and Dynamics Control of Chay Model Using UKF

Abstract:

This paper describes a control framework that uses UKF to estimate unknown parameters, which has significant physiological functions in neuron model, from heavily noisecorrupted time series of active potential and choose the estimated parameters as control vector enables the control purposes of firing patterns transition. We apply this control strategy to the firing patterns from chaotic spiking to periodic one in the Chay model. It has been demonstrated that this framework is highefficiency and wide potential applications to various system in biology.

• Periodical: Advanced Materials Research (Volume 462)
• Pages: 693-700
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.462.693
• Online since: February 2012
• Authors: Hai Yang Wang, Jiang Wang, Hong Li Li, Ying Yuan Chen, Xi Le Wei
• Keywords: Closed Loop Control, Membrane Potential, Parameter Estimation, Unscented Kalman Filter (UKF)

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