L8: MNE tutorial Part #1 - Load and Segment continuous EEG data

24:53
L9: MNE tutorial part #2 - EEG/ERP Visualization and Time-Frequency Analysis

20:07
An introduction to EEG analysis: event-related potentials

31:59
L10: Overview of artifact and noise detection in EEG/MEG

29:04
Broad overview of EEG data analysis analysis

37:40
Wavelets-based Feature Extraction

40:12
MNE Tutorial in Python

25:32
An MNE EEG automated processing pipeline

33:29