mne.viz.plot_snr_estimate#
- mne.viz.plot_snr_estimate(evoked, inv, show=True, axes=None, verbose=None)[source]#
Plot a data SNR estimate.
- Parameters:
- evokedinstance of
Evoked
The evoked instance. This should probably be baseline-corrected.
- invinstance of
InverseOperator
The minimum-norm inverse operator.
- show
bool
Show figure if True.
- axesinstance of
Axes
|None
The axes to plot into.
New in version 0.21.0.
- 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.
- evokedinstance of
- Returns:
- figinstance of
matplotlib.figure.Figure
The figure object containing the plot.
- figinstance of
Notes
The bluish green line is the SNR determined by the GFP of the whitened evoked data. The orange line is the SNR estimated based on the mismatch between the data and the data re-estimated from the regularized inverse.
New in version 0.9.0.
Examples using mne.viz.plot_snr_estimate
#
Estimate data SNR using an inverse
Estimate data SNR using an inverse