Parameter estimation of slow potassium dynamics in a neuron model for seizure-like activity via adaptive lag synchronization and unscented Kalman filter

DOI10.1142/S0217979219501595zbMath1425.92043OpenAlexW2951994366MaRDI QIDQ4973151

Yaru Yang, Tingting Yang, Yan-Qiu Che, Ying-Mei Qin, Chun-Xiao Han

Publication date: 2 December 2019

Published in: International Journal of Modern Physics B (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0217979219501595

zbMATH Keywords

parameters estimationunscented Kalman filteradaptive lag synchronizationseizure-like activity

Mathematics Subject Classification ID

Neural biology (92C20) Dynamical systems in biology (37N25)

Cites Work

• A comparison of three non-linear filters
• Asymptotic behavior of the extended Kalman filter as a parameter estimator for linear systems
• A new method for the nonlinear transformation of means and covariances in filters and estimators
• NONLINEAR DYNAMICAL SYSTEM IDENTIFICATION FROM UNCERTAIN AND INDIRECT MEASUREMENTS
• Adaptive Synchronization for Generalized Lorenz Systems
• A combined method to estimate parameters of neuron from a heavily noise-corrupted time series of active potential

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