mne.minimum_norm.read_inverse_operator
mne.minimum_norm.
read_inverse_operator
Read the inverse operator decomposition from a FIF file.
The name of the FIF file, which ends with -inv.fif or -inv.fif.gz.
If not None, override default verbose level (see mne.verbose() and Logging documentation for more).
mne.verbose()
The inverse operator.
See also
write_inverse_operator, make_inverse_operator
write_inverse_operator
make_inverse_operator
Compute coherence in source space using a MNE inverse solution
Compute full spectrum source space connectivity between labels
Compute source space connectivity and visualize it using a circular graph
Compute Phase Slope Index (PSI) in source space for a visual stimulus
Decoding source space data
Compute MNE-dSPM inverse solution on single epochs
Compute sLORETA inverse solution on raw data
Compute MNE-dSPM inverse solution on evoked data in volume source space
Generate a functional label from source estimates
Extracting the time series of activations in a label
Compute cross-talk functions (CTFs) for labels for MNE/dSPM/sLORETA
Compute point-spread functions (PSFs) for MNE/dSPM/sLORETA
Morph volumetric source estimate
Reading an inverse operator
Plot an estimate of data SNR
Plotting the full MNE solution
Compute Power Spectral Density of inverse solution from single epochs
Compute power and phase lock in label of the source space
Compute power spectrum densities of the sources with dSPM
Compute induced power in the source space with dSPM
Basic MEG and EEG data processing
Corrupt known signal with point spread
Permutation t-test on source data with spatio-temporal clustering
Repeated measures ANOVA on source data with spatio-temporal clustering
Visualize Source time courses