To pre-process your data, use the pre_processing_viz.ipynb notebook. Here are the steps of preprocessing:
- Pass-band filtering (0.3 - 40 Hz)
- Noisy channel Interpolation
- Independent Component Analysis + Removal of none brain components with iclabel (machine learning)
To analyse error-related potentials related to the BCI flankers task, use the erp_analysis.ipynb notebook. Here are the steps of the analysis:
- Import events and focus on the feedback trigger event
- Separate in 2 groups based on the feedback type
- Compute mean evoked response for each group