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

The latest release is available on PyPI and can be installed with:

pip install mnelab

A stand-alone installer will be available soon.

Follow these steps to use the latest development version of MNELAB:

1. Download the source code and unpack it into a folder of your choice.
2. Open a terminal, change to the folder where you unpacked the MNELAB source.
   • If you use Anaconda or Miniconda, install all dependencies with conda install numpy scipy matplotlib pyqt followed by pip install mne.
   • Otherwise, install all dependencies with pip install -r requirements.txt.
3. Finally, run python3 -m mnelab to start MNELAB (if this does not work try python -m mnelab, just make sure to use Python 3 because Python 2 is not supported).