mne.minimum_norm.read_inverse_operator¶

mne.minimum_norm.read_inverse_operator(fname, verbose=None)[source]¶

Read the inverse operator decomposition from a FIF file.

Parameters

fnamestr: The name of the FIF file, which ends with -inv.fif or -inv.fif.gz.
verbosebool, str, int, or None: If not None, override default verbose level (see mne.verbose() and Logging documentation for more). If used, it should be passed as a keyword-argument only.

Returns

invinstance of InverseOperator: The inverse operator.

See also

write_inverse_operator, make_inverse_operator

Examples using `mne.minimum_norm.read_inverse_operator`¶

Overview of MEG/EEG analysis with MNE-Python — Overview of MEG/EEG analysis with MNE-Python¶

Visualize source time courses (stcs) — Visualize source time courses (stcs)¶

Permutation t-test on source data with spatio-temporal clustering — Permutation t-test on source data with spatio-temporal clustering¶

Repeated measures ANOVA on source data with spatio-temporal clustering — Repeated measures ANOVA on source data with spatio-temporal clustering¶

Corrupt known signal with point spread — Corrupt known signal with point spread¶

Plot the MNE brain and helmet — Plot the MNE brain and helmet¶

Compute Power Spectral Density of inverse solution from single epochs — Compute Power Spectral Density of inverse solution from single epochs¶

Compute power and phase lock in label of the source space — Compute power and phase lock in label of the source space¶

Compute source power spectral density (PSD) in a label — Compute source power spectral density (PSD) in a label¶

Compute induced power in the source space with dSPM — Compute induced power in the source space with dSPM¶

Decoding source space data — Decoding source space data¶

Compute coherence in source space using a MNE inverse solution — Compute coherence in source space using a MNE inverse solution¶

Compute full spectrum source space connectivity between labels — Compute full spectrum source space connectivity between labels¶

Compute source space connectivity and visualize it using a circular graph — Compute source space connectivity and visualize it using a circular graph¶

Compute Phase Slope Index (PSI) in source space for a visual stimulus — Compute Phase Slope Index (PSI) in source space for a visual stimulus¶

Compute MNE-dSPM inverse solution on single epochs — Compute MNE-dSPM inverse solution on single epochs¶

Compute sLORETA inverse solution on raw data — Compute sLORETA inverse solution on raw data¶

Compute MNE-dSPM inverse solution on evoked data in volume source space — Compute MNE-dSPM inverse solution on evoked data in volume source space¶

Generate a functional label from source estimates — Generate a functional label from source estimates¶

Extracting the time series of activations in a label — Extracting the time series of activations in a label¶

Morph volumetric source estimate — Morph volumetric source estimate¶

Visualize source leakage among labels using a circular graph — Visualize source leakage among labels using a circular graph¶

Reading an inverse operator — Reading an inverse operator¶

Estimate data SNR using an inverse — Estimate data SNR using an inverse¶

Plotting the full vector-valued MNE solution — Plotting the full vector-valued MNE solution¶