| Parameters: |
- inst : Epochs | Evoked
The epochs or evoked object.
- freqs : ndarray, shape (n_freqs,)
The frequencies in Hz.
- n_cycles : float | ndarray, shape (n_freqs,)
The number of cycles globally or for each frequency.
- use_fft : bool, defaults to False
The fft based convolution or not.
- return_itc : bool, defaults to True
Return inter-trial coherence (ITC) as well as averaged power.
Must be False for evoked data.
- decim : int | slice, defaults to 1
To reduce memory usage, decimation factor after time-frequency
decomposition.
If int, returns tfr[…, ::decim].
If slice, returns tfr[…, decim].
Note
Decimation may create aliasing artifacts.
- n_jobs : int, defaults to 1
The number of jobs to run in parallel.
- picks : array-like of int | None, defaults to None
The indices of the channels to decompose. If None, all available
good data channels are decomposed.
- zero_mean : bool, defaults to True
Make sure the wavelet has a mean of zero.
- average : bool, defaults to True
If True average across Epochs.
- output : str
Can be “power” (default) or “complex”. If “complex”, then
average must be False.
- verbose : bool, str, int, or None, defaults to None
If not None, override default verbose level (see mne.verbose()
and Logging documentation for more).
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