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

Via pip

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

pip install mnelab
mnelab

The mnelab command in the last line starts the application.

Via conda

An (unofficial, but regularly updated) conda package can be installed from conda-forge. We strongly suggest to install MNELAB into its own dedicated environment to ensure smooth installation and operation:

conda create -y --name mnelab -c conda-forge mnelab
conda activate mnelab
mnelab

The mnelab command in the last line starts the application. Any issues with this conda package should be reported to the respective issue tracker.

Standalone installer

A stand-alone installer will be available soon.

Development version

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).