mne.decoding.compute_ems#
- mne.decoding.compute_ems(epochs, conditions=None, picks=None, n_jobs=None, cv=None, *, verbose=None)[source]#
Compute event-matched spatial filter on epochs.
This version of EMS [1] operates on the entire time course. No time window needs to be specified. The result is a spatial filter at each time point and a corresponding time course. Intuitively, the result gives the similarity between the filter at each time point and the data vector (sensors) at that time point.
- Parameters:
- epochsinstance of
mne.Epochs The epochs.
- conditions
listofstr|None, defaultNone If a list of strings, strings must match the epochs.event_id’s key as well as the number of conditions supported by the objective_function. If None keys in epochs.event_id are used.
- picks
str| array_like |slice|None Channels to include. Slices and lists of integers will be interpreted as channel indices. In lists, channel type strings (e.g.,
['meg', 'eeg']) will pick channels of those types, channel name strings (e.g.,['MEG0111', 'MEG2623']will pick the given channels. Can also be the string values'all'to pick all channels, or'data'to pick data channels. None (default) will pick good data channels. Note that channels ininfo['bads']will be included if their names or indices are explicitly provided.- n_jobs
int|None The number of jobs to run in parallel. If
-1, it is set to the number of CPU cores. Requires thejoblibpackage.None(default) is a marker for ‘unset’ that will be interpreted asn_jobs=1(sequential execution) unless the call is performed under ajoblib.parallel_configcontext manager that sets another value forn_jobs.- cvcross-validation object |
str|None, defaultLeaveOneOut The cross-validation scheme.
- verbosebool |
str|int|None Control verbosity of the logging output. If
None, use the default verbosity level. See the logging documentation andmne.verbose()for details. Should only be passed as a keyword argument.
- epochsinstance of
- Returns:
References
