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Automated rejection and repair of epochs in M/EEG.

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This repository hosts code to automatically reject trials and repair sensors for M/EEG data.

The documentation can be found under the following links:


These are the dependencies to use autoreject:

  • Python (>=3.5)
  • numpy (>=1.8)
  • matplotlib (>=1.3)
  • scipy (>=0.16)
  • mne-python (>=0.14)
  • scikit-learn (>=0.18)
  • joblib

Two optional dependencies are tqdm (for nice progressbars) and h5py (for IO).


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.

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