Introductory tutorials to MNE.
Non-parametric 1 sample cluster statistic on single trial power
Permutation t-test on toy data with spatial clustering
Permutation t-test on source data with spatio-temporal clustering
2 samples permutation test on source data with spatio-temporal clustering
Repeated measures ANOVA on source data with spatio-temporal clustering
Non-parametric between conditions cluster statistic on single trial power
sphx_glr_auto_tutorials_plot_cluster_stats_time_frequency_repeated_measures_anova.py
Creating MNE-Python’s data structures from scratch
The Epochs data structure: epoched data
Export epochs to Pandas DataFrame
Compute ICA on MEG data and remove artifacts
The Info data structure
Basic MEG and EEG data processing
Modifying data in-place
sphx_glr_auto_tutorials_plot_raw_objects.py
Basics of source localization
Spatiotemporal permutation F-test on full sensor data