- raw : instance of Raw
The raw data
- inverse_operator : instance of InverseOperator
The inverse operator
- lambda2: float
The regularization parameter
- method: “MNE” | “dSPM” | “sLORETA”
Use minimum norm, dSPM (default), sLORETA, or eLORETA.
- tmin : float
The beginning of the time interval of interest (in seconds).
Use 0. for the beginning of the file.
- tmax : float | None
The end of the time interval of interest (in seconds). If None
stop at the end of the file.
- fmin : float
The lower frequency of interest
- fmax : float
The upper frequency of interest
- n_fft: int
Window size for the FFT. Should be a power of 2.
- overlap: float
The overlap fraction between windows. Should be between 0 and 1.
0 means no overlap.
- pick_ori : None | “normal”
If “normal”, rather than pooling the orientations by taking the norm,
only the radial component is kept. This is only implemented
when working with loose orientations.
- label: Label
Restricts the source estimates to a given label
- nave : int
The number of averages used to scale the noise covariance matrix.
- pca: bool
If True, the true dimension of data is estimated before running
the time-frequency transforms. It reduces the computation times
e.g. with a dataset that was maxfiltered (true dim is 64).
- prepared : bool
If True, do not call prepare_inverse_operator()
.
- method_params : dict | None
Additional options for eLORETA. See Notes of apply_inverse()
.
- inv_split : int or None
Split inverse operator into inv_split parts in order to save memory.
- bandwidth : float | str
The bandwidth of the multi taper windowing function in Hz.
Can also be a string (e.g., ‘hann’) to use a single window.
For backward compatibility, the default is ‘hann’.
- adaptive : bool
Use adaptive weights to combine the tapered spectra into PSD
(slow, use n_jobs >> 1 to speed up computation).
- low_bias : bool
Only use tapers with more than 90% spectral concentration within
bandwidth.
- n_jobs : int
Number of parallel jobs to use (only used if adaptive=True).
- return_sensor : bool
If True, return the sensor PSDs as an EvokedArray.
- dB : bool
If True (default in 0.17, will change to False in 0.18),
return output it decibels.
- verbose : bool, str, int, or None
If not None, override default verbose level (see mne.verbose()
and Logging documentation for more).