Denis A. Engemann
Denis A. Engemann
We recently added a pure Numpy implementation of the ICA infomax algorithm to [mne-python](https://github.com/mne-tools/mne-python). https://github.com/mne-tools/mne-python/blob/master/mne/preprocessing/infomax_.py https://github.com/mne-tools/mne-python/blob/master/mne/preprocessing/tests/test_infomax.py It should not be too difficult to include it in sklearn since we already...
Sequel to #64
It seems we have no regression tests, especially not for autorejct itself. To avoid loosing time and work when refactoring autoreject we need to make sure the code detects known...
So far we had discussed 1) subsampling of fitting and interpolating epochs for data augmentation 2) fit on k epochs, transform all The task here is to at least show...
title says it all @hoechenberger
With Tomas D'Amelio we implemented the AutoReject local option in ptp_reject to clean the DEAP data. Results are pretty nice! Some work is necessary to make that code fit into...
I think it would be useful to have a mechanism for inserting the info from annotations present for a given raw segment into the metadata of the resulting epoch. Say...
It would be sweet to have the pipeline generate reports where the power spectrum is visualized for each condition. E.g. eyes closed / open. cc @hoechenberger
with @tomdamelio we want to filter EDA channels in the 02 preprocessing script for example. Naturally, the EDA (coded as misc channel) should be forwarded to the epoching later. What...