0.17.1
Install
Documentation
API
Glossary
Examples
Contribute
Site
v0.17.1
Development
v0.17 (stable)
v0.16
v0.15
v0.14
v0.13
v0.12
v0.11
Computation times
Computation times
¶
14:04.039
total execution time for
auto_examples_inverse
files:
03:14.592
:
Compute LCMV beamformer on evoked data
(plot_lcmv_beamformer.py)
02:35.571
:
Demonstrate impact of whitening on source estimates
(plot_covariance_whitening_dspm.py)
01:23.948
:
Compute MNE inverse solution on evoked data in a mixed source space
(plot_mixed_source_space_inverse.py)
00:39.894
:
Compute a sparse inverse solution using the Gamma-Map empirical Bayesian method
(plot_gamma_map_inverse.py)
00:38.747
:
Compute MxNE with time-frequency sparse prior
(plot_time_frequency_mixed_norm_inverse.py)
00:36.834
:
Compute LCMV inverse solution in volume source space
(plot_lcmv_beamformer_volume.py)
00:36.078
:
Time-frequency beamforming using LCMV
(plot_tf_lcmv.py)
00:35.557
:
Time-frequency beamforming using DICS
(plot_tf_dics.py)
00:35.118
:
Compute source power using DICS beamfomer
(plot_dics_source_power.py)
00:34.594
:
Morph surface source estimate
(plot_morph_surface_stc.py)
00:31.685
:
Morph volumetric source estimate
(plot_morph_volume_stc.py)
00:20.369
:
Compute sparse inverse solution with mixed norm: MxNE and irMxNE
(plot_mixed_norm_inverse.py)
00:16.425
:
Generate a functional label from source estimates
(plot_label_from_stc.py)
00:15.778
:
Compute cross-talk functions (CTFs) for labels for MNE/dSPM/sLORETA
(plot_mne_crosstalk_function.py)
00:15.735
:
Compute point-spread functions (PSFs) for MNE/dSPM/sLORETA
(plot_mne_point_spread_function.py)
00:11.913
:
Compute Rap-Music on evoked data
(plot_rap_music.py)
00:10.151
:
Plotting the full MNE solution
(plot_vector_mne_solution.py)
00:05.846
:
Compute MNE-dSPM inverse solution on evoked data in volume source space
(plot_compute_mne_inverse_volume.py)
00:04.967
:
Source localization with a custom inverse solver
(plot_custom_inverse_solver.py)
00:04.862
:
Reading a source space from a forward operator
(plot_read_source_space.py)
00:04.616
:
Compute MNE-dSPM inverse solution on single epochs
(plot_compute_mne_inverse_epochs_in_label.py)
00:02.552
:
Plot an estimate of data SNR
(plot_snr_estimate.py)
00:02.226
:
Extracting the time series of activations in a label
(plot_label_source_activations.py)
00:02.122
:
Compute sLORETA inverse solution on raw data
(plot_compute_mne_inverse_raw_in_label.py)
00:01.727
:
Reading an inverse operator
(plot_read_inverse.py)
00:01.099
:
Reading an STC file
(plot_read_stc.py)
00:01.032
:
Extracting time course from source_estimate object
(plot_label_activation_from_stc.py)