Dynamic Inverse Problem Solution Using a Kalman Filter Smoother for Neuronal Activity Estimation

@inproceedings{GiraldoSurez2011DynamicIP,
  title={Dynamic Inverse Problem Solution Using a Kalman Filter Smoother for Neuronal Activity Estimation},
  author={E. Giraldo-Su{\'a}rez and Jorge I. Padilla-Buritica and C{\'e}sar Germ{\'a}n Castellanos-Dom{\'i}nguez},
  year={2011}
}
This article presents an estimation method of neuronal activity into the brain using a Kalman smoother approach that takes into account in the solution of the inverse problem the dynamic variability of the time series. This method is applied over a realistic head model calculated with the boundary element method. A comparative analysis for the dynamic… CONTINUE READING