Estimation of neuronal activity and brain dynamics using a dual Kalman filter with physiologycal based linear model
暂无分享,去创建一个
[1] G. Castellanos-Dominguez,et al. Estimation of dynamic neural activity using a Kalman filter approach based on physiological models , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[2] P. Robinson,et al. Compact dynamical model of brain activity. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[3] Per Christian Hansen. 5. Direct Regularization Methods , 1998 .
[4] Spilios D. Fassois,et al. Parametric time-domain methods for non-stationary random vibration modelling and analysis — A critical survey and comparison , 2006 .
[5] Jeffrey K. Uhlmann,et al. Unscented filtering and nonlinear estimation , 2004, Proceedings of the IEEE.
[6] Tohru Ozaki,et al. Recursive penalized least squares solution for dynamical inverse problems of EEG generation , 2004, Human brain mapping.
[7] M. Cook,et al. EEG source localization in focal epilepsy: Where are we now? , 2008, Epilepsia.
[8] Hugh F. Durrant-Whyte,et al. Evaluating the Performance of Kalman-Filter-Based EEG Source Localization , 2009, IEEE Transactions on Biomedical Engineering.
[9] E.N. Brown,et al. Large Scale Kalman Filtering Solutions to the Electrophysiological Source Localization Problem- A MEG Case Study , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[10] J. Kurths,et al. Identification of nonlinear spatiotemporal systems via partitioned filtering. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[11] Bart Vanrumste,et al. Journal of Neuroengineering and Rehabilitation Open Access Review on Solving the Inverse Problem in Eeg Source Analysis , 2022 .
[12] P. Hansen. Rank-Deficient and Discrete Ill-Posed Problems: Numerical Aspects of Linear Inversion , 1987 .