mne-tools / mne-tools/mne-python
convert examples/preprocessing/plot_ica_comparison to full tutorial
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Description
This example has the potential to be a more informative discussion about the pros/cons of different ICA algorithms. Also right now it doesn't really fit the goal of being a "How-to" for a normal analysis task (you wouldn't usually compare several ICA algorithms every time you preprocess a new dataset). Things it should discuss:
- speed
- performance on clean data vs different kinds of noisy data
- deterministic / random?
would be good to also show the "same" component from different algorithms side-by-side (right now just a separate grid of 25 components for each algorithm)
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