The KEY Institute for Brain-Mind Research EEG Analysis Toolbox

This package contains functionality for EEG preprocessing, microstate analysis, spectral analysis, and statistics.

Installation

Install the package from the command line with:

sudo pip install keypy

On Windows, install the executable file from PyPi:

https://pypi.python.org/pypi/keypy

Python3 Setup

To get the additional required libraries, please run the following command in your virtual environment:

pip install -r requirements.txt

Citation

If you use this package, please cite:

• P. Milz, P.L. Faber, D. Lehmann, T. Koenig, K. Kochi, R.D. Pascual-Marqui, The functional significance of EEG microstates — Associations with modalities of thinking, NeuroImage, Available online 15 August 2015, ISSN 1053-8119, http://dx.doi.org/10.1016/j.neuroimage.2015.08.023.

• P. Milz. (2015). keypy: The KEY EEG Analysis Toolbox. Zenodo. 10.5281/zenodo.29120.

Development

This repository is no longer maintained by the Key Institute. For information contact institute coordinator of the KEY Institute for Brain-Mind Research at pfaber@key.uzh.ch.

KeyPy has been ported from Python 2.7 to Python 3.7 by University of Waterloo Algebraic Intelligence and Computation Laboratory in 2021. Contact Prof. C. L. Nehaniv (cnehaniv@uwaterloo.ca).

If you want to contribute to the source code, you can find the new KeyPy repository on GitHub:

https://github.com/uwaicl/keypy

Developer

• Patricia Milz

Contributors

• Christian Oberholzer

• Stephan Gerhard

• Pascal L Faber

• Thomas Koenig

• Dietrich Lehmann

• Thomas George

• Reinoud Maex

• David Haydock

• Chrystopher Nehaniv

We are most thankful to all contributors!