eelbrain.pipeline.MneExperiment.make_ica_selection

MneExperiment.make_ica_selection(epoch=None, samplingrate=None, decim=None, session=None, **state)

Select ICA components to remove through a GUI

Parameters:

  • epoch (str) – Load data from this epoch for visualization during component selection (does not affect the ICA components themselvs). If unspecified, the default is to load the data form the entire session that the ICA is based on.

  • samplingrate (float) – Samplingrate in Hz for the visualization (set to a lower value to improve GUI performance; for raw data, the default is ~100 Hz, for epochs the default is the epoch setting).

  • decim (int) – Data decimation factor (alternative to samplingrate).

  • session (str | Sequence[str]) – One or more sessions for which to plot the raw data (this parameter can not be used together with epoch; default is the session used for ICA estimation).

  • ... – State parameters.

Notes

Computing ICA decomposition can take a while. In order to precompute the decomposition for all subjects before doing the selection use make_ica() in a loop as in:

>>> for subject in e:
...     e.make_ica()
...