Forward and Inverse Problems in EEG

Research goals

We aim to derive and implement accurate EEG forward models and EEG inverse problem solvers having high spatial resolution and provably optimal reconstruction of the brain's electrical activity.

Key papers

J Jurkowska, J Dreszer, M Lewandowska, K Tolpa, T Piotrowski, Multi-Source Neural Activity Indices for EEG/MEG Localization: A Two-Stage Spatial Filtering Framework and Extension to MNE-Python, NeuroImage, 2026.
K Rykaczewski, J Nikadon, W Duch, T Piotrowski, supFunSim: Spatial Filtering Toolbox for EEG, Neuroinformatics, 19 (2021), pp. 107-125.
T Piotrowski, J Nikadon, A Moiseev, Localization of Brain Activity from EEG/MEG Using MV-PURE Framework, Biomedical Signal Processing and Control, 64 (2021), pp. 102243.
T Piotrowski, J Nikadon, D Gutierrez, MV-PURE Spatial Filters With Application to EEG/MEG Source Reconstruction, IEEE Transactions on Signal Processing, 67 (2019), pp. 553-567.