mne.minimum_norm.apply_inverse_epochs(epochs, inverse_operator, lambda2, method='dSPM', label=None, nave=1, pick_ori=None, return_generator=False, prepared=False, method_params=None, use_cps=True, verbose=None)[source]#

Apply inverse operator to Epochs.

epochsEpochs object

Single trial epochs.


Inverse operator.


The regularization parameter.

method“MNE” | “dSPM” | “sLORETA” | “eLORETA”

Use minimum norm, dSPM (default), sLORETA, or eLORETA.

labelLabel | None

Restricts the source estimates to a given label. If None, source estimates will be computed for the entire source space.


Number of averages used to regularize the solution. Set to 1 on single Epoch by default.

pick_oriNone | “normal” | “vector”


  • None

    Pooling is performed by taking the norm of loose/free orientations. In case of a fixed source space no norm is computed leading to signed source activity.

  • "normal"

    Only the normal to the cortical surface is kept. This is only implemented when working with loose orientations.

  • "vector"

    No pooling of the orientations is done, and the vector result will be returned in the form of a mne.VectorSourceEstimate object.


Return a generator object instead of a list. This allows iterating over the stcs without having to keep them all in memory.


If True, do not call prepare_inverse_operator().

method_paramsdict | None

Additional options for eLORETA. See Notes of apply_inverse().

New in v0.16.


Whether to use cortical patch statistics to define normal orientations for surfaces (default True).

Only used when the inverse is free orientation (loose=1.), not in surface orientation, and pick_ori='normal'.

New in v0.20.

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.

stcslist of (SourceEstimate | VectorSourceEstimate | VolSourceEstimate)

The source estimates for all epochs.

See also


Apply inverse operator to raw object.


Apply inverse operator to evoked object.


Apply inverse operator to epochs tfr object.


Apply inverse operator to a covariance object.

Examples using mne.minimum_norm.apply_inverse_epochs#

Decoding source space data

Decoding source space data

Compute MNE-dSPM inverse solution on single epochs

Compute MNE-dSPM inverse solution on single epochs

Computing source timecourses with an XFit-like multi-dipole model

Computing source timecourses with an XFit-like multi-dipole model