PyPREP: A Python implementation of the preprocessing pipeline (PREP) for EEG data.
Project description
PyPREP
For documentation, see the:
pyprep is a Python implementation of the Preprocessing Pipeline (PREP) for EEG data, working with MNE-Python.
Installation
pyprep runs on Python version 3.9 or higher.
We recommend to run pyprep in a dedicated virtual environment (for example using conda).
For installing the stable version of pyprep, call:
python -m pip install --upgrade pyprep
or if you use conda:
conda install --channel conda-forge pyprep
For installing the latest (development) version of pyprep, call:
python -m pip install --upgrade https://github.com/sappelhoff/pyprep/archive/refs/heads/main.zip
Both the stable and the latest installation will additionally install all required dependencies automatically. The dependencies are defined in the pyproject.toml file under the dependencies and project.optional-dependencies sections.
Contributing
The development of pyprep is taking place on GitHub.
For more information, please see CONTRIBUTING.md.
Citing
If you use this software in academic work, please cite it using the Zenodo entry. Please also consider citing the original publication on PREP (see “References” below). Metadata is encoded in the CITATION.cff file.
References
Bigdely-Shamlo, N., Mullen, T., Kothe, C., Su, K.-M., & Robbins, K. A. (2015). The PREP pipeline: standardized preprocessing for large-scale EEG analysis. Frontiers in Neuroinformatics, 9, 16. doi: 10.3389/fninf.2015.00016
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