This repository hosts code to automatically reject trials and repair sensors for M/EEG data.
These are the dependencies to use autoreject:
- numpy (>=1.8)
- matplotlib (>=1.3)
- scipy (>=0.16)
- mne-python
- scikit-learn (0.18)
If you use this code in your project, please cite:
Mainak Jas, Denis Engemann, Federico Raimondo, Yousra Bekhti, and Alexandre Gramfort,
"Automated rejection and repair of bad trials in MEG/EEG." In 6th International Workshop on
Pattern Recognition in Neuroimaging (PRNI). 2016.
Mainak Jas, Denis Engemann, Yousra Bekhti, Federico Raimondo, and Alexandre Gramfort. 2017.
Autoreject: Automated artifact rejection for MEG and EEG data. NeuroImage, 159, 417-429.