Computation times¶
02:32.451 total execution time for auto_examples_preprocessing files:
00:38.517: Compute ICA components on epochs (
plot_run_ica.py
)00:31.763: Compare the different ICA algorithms in MNE (
plot_ica_comparison.py
)00:19.731: Plot sensor denoising using oversampled temporal projection (
plot_otp.py
)00:14.077: Resampling data (
plot_resample.py
)00:09.299: Querying epochs with rich metadata (
plot_metadata_query.py
)00:07.401: Interpolate bad channels for MEG/EEG channels (
plot_interpolate_bad_channels.py
)00:06.408: Maxwell filter data with movement compensation (
plot_movement_compensation.py
)00:06.335: Remap MEG channel types (
plot_virtual_evoked.py
)00:05.485: XDAWN Denoising (
plot_xdawn_denoising.py
)00:02.827: Find ECG artifacts (
plot_find_ecg_artifacts.py
)00:02.710: Re-referencing the EEG signal (
plot_rereference_eeg.py
)00:02.106: Define target events based on time lag, plot evoked response (
plot_define_target_events.py
)00:01.753: Show EOG artifact timing (
plot_eog_artifact_histogram.py
)00:01.612: Visualize subject head movement (
plot_head_positions.py
)00:01.214: Shifting time-scale in evoked data (
plot_shift_evoked.py
)00:01.212: Find EOG artifacts (
plot_find_eog_artifacts.py
)