Computation times¶
02:24.193 total execution time for auto_examples_visualization files:
00:31.263: Cross-hemisphere comparison (
plot_xhemi.py
)00:30.445: Plotting sensor layouts of EEG Systems (
plot_montage.py
)00:18.343: Plotting topographic arrowmaps of evoked data (
plot_evoked_arrowmap.py
)00:14.042: Plot custom topographies for MEG sensors (
plot_topo_customized.py
)00:07.982: Plot a cortical parcellation (
plot_parcellation.py
)00:07.825: Whitening evoked data with a noise covariance (
plot_evoked_whitening.py
)00:06.444: How to convert 3D electrode positions to a 2D image. (
plot_3d_to_2d.py
)00:06.348: Plotting sensor layouts of MEG systems (
plot_meg_sensors.py
)00:05.820: Sensitivity map of SSP projections (
plot_ssp_projs_sensitivity_map.py
)00:04.106: Plotting topographic maps of evoked data (
plot_evoked_topomap.py
)00:03.857: Plot single trial activity, grouped by ROI and sorted by RT (
plot_roi_erpimage_by_rt.py
)00:02.606: Compare evoked responses for different conditions (
plot_topo_compare_conditions.py
)00:02.542: Visualize channel over epochs as an image (
plot_channel_epochs_image.py
)00:01.491: Show noise levels from empty room data (
plot_sensor_noise_level.py
)00:01.078: Plotting EEG sensors on the scalp (
plot_eeg_on_scalp.py
)00:00.000: Make an MNE-Report with a Slider (
make_report.py
)