mne.minimum_norm.read_inverse_operator

mne.minimum_norm.read_inverse_operator(fname, *, verbose=None)

Read the inverse operator decomposition from a FIF file.

Parameters:

fnamepath-like

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

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

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

Plot the MNE brain and helmet

Plot the MNE brain and helmet

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)

Corrupt known signal with point spread

Corrupt known signal with point spread

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