mne.time_frequency.csd_tfr#
- mne.time_frequency.csd_tfr(epochs_tfr, tmin=None, tmax=None, picks=None, projs=None, verbose=None)[source]#
Compute covariance matrices across frequencies for TFR epochs.
- Parameters:
- epochs_tfr
EpochsTFR
The time-frequency resolved epochs over which to compute the covariance.
- tmin
float
|None
Minimum time instant to consider, in seconds. If
None
start at first sample.- tmax
float
|None
Maximum time instant to consider, in seconds. If
None
end at last sample.- 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 (excluding reference MEG channels). Note that channels ininfo['bads']
will be included if their names or indices are explicitly provided.- projs
list
ofProjection
|None
List of projectors to store in the CSD object. Defaults to
None
, which means the projectors defined in the EpochsTFR object will be copied.- verbose
bool
|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.
- epochs_tfr
- Returns:
- resinstance of
CrossSpectralDensity
Cross-spectral density restricted to selected channels.
- resinstance of