A graphical user interface for MNE
Project description
MNELAB
Graphical user interface (GUI) for MNE, a Python-based toolbox for EEG/MEG analysis.
Screenshots
Dependencies
MNELAB requires Python >= 3.6. In addition, the following Python packages are required:
- PyQt5 >= 5.6.0
- numpy >= 1.8.1
- scipy >= 0.17.1
- matplotlib >= 2.0.0
- mne >= 0.17
Optional dependencies provide additional features if installed:
- scikit-learn (ICA computation via FastICA)
- python-picard (ICA computation via PICARD)
- pyEDFlib (export raw to EDF/BDF)
- pyxdf (import XDF files)
In general, I recommended to always use the latest package versions.
Additional features
MNELAB comes with the following features that are not (yet) available in MNE:
- Export raw to EDF/BDF (requires pyEDFlib)
- Export raw to EEGLAB SET
- Import XDF files (requires pyxdf)
Installation
A package on PyPI and a stand-alone installer will be available soon.
Meanwhile, follow these steps to use MNELAB:
- Download the source code and unpack it into a folder of your choice.
- Open a terminal, change to the folder where you unpacked the MNELAB source.
- Finally, run
python3 -m mnelabto start MNELAB (if this does not work trypython -m mnelab, just make sure to use Python 3 because Python 2 is not supported).
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