This video provides a comprehensive tutorial on calculating event-related potentials (ERPs) from EEG data using Python's MNE library. Starting with data import and pre-processing, the video guides the viewer through the essential steps, including applying band-pass filters for noise reduction and implementing artifact removal to improve data quality.

We then demonstrate how to accurately identify stimulus onset using the trigger channel, followed by data averaging to extract ERPs. Finally, we show how to transform the processed data into source space for advanced spatial analysis and interpretation.