This repository hosts code to automatically reject trials and repair sensors for M/EEG data.
We are actively trying to reduce the number of dependencies. However, as of now these are the dependencies for the examples to run:
- numpy (>=1.8)
- matplotlib (>=1.3)
- scipy (>=0.16)
- mne-python
- scikit-learn (0.18)
- scikit-optimize (0.1)
- joblibs
- pandas
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.