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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 | None: Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.

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 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¶

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