Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

Automated rejection and repair of epochs in M/EEG.

Project description

CircleCI Travis Codecov

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

http://autoreject.github.io/_images/sphx_glr_plot_visualize_bad_epochs_002.png

The documentation can be found under the following links:

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for autoreject, version 0.2.1
Filename, size File type Python version Upload date Hashes
Filename, size autoreject-0.2.1-py3-none-any.whl (24.8 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size autoreject-0.2.1.tar.gz (34.6 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page