Estimate cross-spectral density from epochs using Morlet wavelets.
Epochs
The epochs to compute the CSD for.
list
of float
The frequencies of interest, in Hertz.
float
| None
Minimum time instant to consider, in seconds. If None
start at
first sample.
float
| None
Maximum time instant to consider, in seconds. If None
end at last
sample.
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). Note that channels in info['bads']
will be included if
their names or indices are explicitly provided.
float
| list
of float
| None
Number of cycles to use when constructing Morlet wavelets. Fixed number or one per frequency. Defaults to 7.
Whether to use FFT-based convolution to compute the wavelet transform. Defaults to True.
int
| slice
To reduce memory usage, decimation factor during time-frequency decomposition. Defaults to 1 (no decimation).
list
of Projection
| 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.
int
| None
The number of jobs to run in parallel. If -1
, it is set
to the number of CPU cores. Requires the joblib
package.
None
(default) is a marker for ‘unset’ that will be interpreted
as n_jobs=1
(sequential execution) unless the call is performed under
a joblib.parallel_backend()
context manager that sets another
value for n_jobs
.
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.
CrossSpectralDensity
The computed cross-spectral density.
mne.time_frequency.csd_morlet
#Compute a cross-spectral density (CSD) matrix
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