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
Simulate EEG data reflecting sensorimotor oscillations. Develop and compare spatial filters, evaluating their effectiveness in extracting neural sources.
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
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