MNE-Cookbook

使用MNE-python过程中的小技巧，即如何处理MEG/EEG等数据;

Name		Name	Last commit message	Last commit date
Latest commit History 31 Commits
Docs		Docs
example		example
imgs		imgs
.DS_Store		.DS_Store
.gitignore		.gitignore
Add_bad_channels.ipynb		Add_bad_channels.ipynb
Annotations and events.ipynb		Annotations and events.ipynb
Artifacts detection.ipynb		Artifacts detection.ipynb
Base_Concepts.ipynb		Base_Concepts.ipynb
Channels_segment.ipynb		Channels_segment.ipynb
Compute ICA on MEG data and remove artifacts.ipynb		Compute ICA on MEG data and remove artifacts.ipynb
Compute LCMV inverse solution in volume source space.ipynb		Compute LCMV inverse solution in volume source space.ipynb
Compute MNE-dSPM inverse solution on evoked data in volume source space.ipynb		Compute MNE-dSPM inverse solution on evoked data in volume source space.ipynb
Compute MNE-dSPM inverse solution on single epochs.ipynb		Compute MNE-dSPM inverse solution on single epochs.ipynb
Compute sLORETA inverse solution on raw data.ipynb		Compute sLORETA inverse solution on raw data.ipynb
Compute seed-based time-frequency connectivity in sensor space.ipynb		Compute seed-based time-frequency connectivity in sensor space.ipynb
Compute sparse inverse solution with mixed norm MxNE and irMxNE.ipynb		Compute sparse inverse solution with mixed norm MxNE and irMxNE.ipynb
Compute_power_spectrum_densities_of_the_sources_with_dSPM.ipynb		Compute_power_spectrum_densities_of_the_sources_with_dSPM.ipynb
Compute_the_power_spectral_density_of_raw_data.ipynb		Compute_the_power_spectral_density_of_raw_data.ipynb
Concatenating_Raw_objects.ipynb		Concatenating_Raw_objects.ipynb
Create_Raw_objects.ipynb		Create_Raw_objects.ipynb
Custom define Epochs.ipynb		Custom define Epochs.ipynb
Data resampling.ipynb		Data resampling.ipynb
Detect eye blinks ( EOG) and turn them into Annotations.ipynb		Detect eye blinks ( EOG) and turn them into Annotations.ipynb
Detect eye blinks.ipynb		Detect eye blinks.ipynb
Detect heart beat QRS component.ipynb		Detect heart beat QRS component.ipynb
Dipfit.ipynb		Dipfit.ipynb
Display sensitivity maps for EEG and MEG sensors.ipynb		Display sensitivity maps for EEG and MEG sensors.ipynb
ECG artifact remove with ICA.ipynb		ECG artifact remove with ICA.ipynb
EEG_Reference.ipynb		EEG_Reference.ipynb
EEG_units.ipynb		EEG_units.ipynb
EOG artifact remove with ICA.ipynb		EOG artifact remove with ICA.ipynb
ERP ERF.ipynb		ERP ERF.ipynb
Epoching_and_averaging(ERP-ERF).ipynb		Epoching_and_averaging(ERP-ERF).ipynb
Epochs.ipynb		Epochs.ipynb
Filter.ipynb		Filter.ipynb
Find and show EOG artifacts.ipynb		Find and show EOG artifacts.ipynb
Frequency and time-frequency sensors analysis.ipynb		Frequency and time-frequency sensors analysis.ipynb
Get_all_channels_name.ipynb		Get_all_channels_name.ipynb
Get_channel_units.ipynb		Get_channel_units.ipynb
Get_meg_time_range.ipynb		Get_meg_time_range.ipynb
Head model and forward computation.ipynb		Head model and forward computation.ipynb
Head movement.ipynb		Head movement.ipynb
Maxwell_filter_data_with_movement_compensation.ipynb		Maxwell_filter_data_with_movement_compensation.ipynb
Maxwell_filtering_to_remove_environmental_noise.ipynb		Maxwell_filtering_to_remove_environmental_noise.ipynb
Modify_Raw.info_forcibly.ipynb		Modify_Raw.info_forcibly.ipynb
Modify_Raw_forcibly.ipynb		Modify_Raw_forcibly.ipynb
Modify_channels_data.ipynb		Modify_channels_data.ipynb
Plot_eog_meg.ipynb		Plot_eog_meg.ipynb
Plotting topographic maps of evoked data.ipynb		Plotting topographic maps of evoked data.ipynb
README.md		README.md
Read and save event file.ipynb		Read and save event file.ipynb
Reading an inverse operator.ipynb		Reading an inverse operator.ipynb
Remove_channels.ipynb		Remove_channels.ipynb
Removing_power-line_noise.ipynb		Removing_power-line_noise.ipynb
Rename_channels_with_types.ipynb		Rename_channels_with_types.ipynb
Save_segment.ipynb		Save_segment.ipynb
Show EOG artifact timing.ipynb		Show EOG artifact timing.ipynb
Source localization with MNE.ipynb		Source localization with MNE.ipynb
Sphere_model.ipynb		Sphere_model.ipynb
TSSS.ipynb		TSSS.ipynb
Time-frequency on simulated data .ipynb		Time-frequency on simulated data .ipynb
Time_segment.ipynb		Time_segment.ipynb
Visualize Source time courses.ipynb		Visualize Source time courses.ipynb
Whitening with PCA and ZCA.ipynb		Whitening with PCA and ZCA.ipynb
check_spike.ipynb		check_spike.ipynb
custom_raw_plot.png		custom_raw_plot.png
export_fif_with_events.ipynb		export_fif_with_events.ipynb
filter_time_frequency.ipynb		filter_time_frequency.ipynb
find_all_channel_names.ipynb		find_all_channel_names.ipynb
get_rawdata_index_by_channel_name.ipynb		get_rawdata_index_by_channel_name.ipynb
preprocess_pipeline.ipynb		preprocess_pipeline.ipynb
raw_to_DataFrame.ipynb		raw_to_DataFrame.ipynb
read_raw_data.ipynb		read_raw_data.ipynb
tf.png		tf.png
待梳理.txt		待梳理.txt

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