A solver of EEG/MEG inverse problem using a multivariate auto-regressive model on the source space
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Updated
Nov 12, 2019 - Jupyter Notebook
A solver of EEG/MEG inverse problem using a multivariate auto-regressive model on the source space
Real-time BCI platform used to assess performance of: (1) discrete trial vs continuous pursuit BCI training (2) source (EEG source imaging) vs sensor space decoding (3) continuous robotic arm control
Simulate EEG data reflecting sensorimotor oscillations. Develop and compare spatial filters, evaluating their effectiveness in extracting neural sources.
Comprehensive MEG pipeline from raw data to source reconstruction.
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