mne.time_frequency.csd_morlet¶

mne.time_frequency.
csd_morlet
(epochs, frequencies, tmin=None, tmax=None, picks=None, n_cycles=7, use_fft=True, decim=1, projs=None, n_jobs=1, verbose=None)[source]¶ Estimate crossspectral density from epochs using Morlet wavelets.
 Parameters
 epochsinstance of
Epochs
The epochs to compute the CSD for.
 frequencies
list
offloat
The frequencies of interest, in Hertz.
 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
list
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). n_cycles
float
list
offloat
None
Number of cycles to use when constructing Morlet wavelets. Fixed number or one per frequency. Defaults to 7.
 use_fftbool
Whether to use FFTbased convolution to compute the wavelet transform. Defaults to True.
 decim
int
slice
To reduce memory usage, decimation factor during timefrequency decomposition. Defaults to 1 (no decimation).
 projs
list
ofProjection
None
List of projectors to store in the CSD object. Defaults to
None
, which means the projectors defined in the Epochs object will be copied. n_jobs
int
The number of jobs to run in parallel (default 1). Requires the joblib package.
 verbosebool,
str
,int
, orNone
If not None, override default verbose level (see
mne.verbose()
and Logging documentation for more).
 epochsinstance of
 Returns
 csdinstance of
CrossSpectralDensity
The computed crossspectral density.
 csdinstance of