autoreject 0.2.2

Automated rejection and repair of epochs in M/EEG.

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

The documentation can be found under the following links:

• for the stable release

• for the latest (development) version

Dependencies

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).

Cite

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.