NEUROFEEDBACK USING MNE PYTHON

This is a software for realtime neurofeeback training based on MNE and PsychoPy for visualization. It uses modules and libraries from MNE to stream EEG signal in real time through LSL (Lab Streaming Layer), do basic preprocessing, automatically rejection bad channels and perform ICA for baseline calibration. The feedback is visualized through PsychoPy tools.

Dependencies

1. Python version 3.9
2. MNE Python version 1.7 or higher (https://mne.tools/stable/install/index.html)
   • mne-realtime (https://mne.tools/mne-realtime/)
   • numpy 1.24.4
   • scipy 1.11.4
   • matplotlib 3.8.4 (backend=QtAgg)
   • mne-icalabel 0.7.0 (requires sklearn version 1.5.1)
3. LSL (https://github.com/sccn/liblsl) and pylsl (https://github.com/chkothe/pylsl)
4. PsychoPy version 2024.2.1 (https://www.psychopy.org/download.html)