MNE-Python, a toolkit for neurophysiological data
2019-09-04, 18:00–19:30, Posters at 16:00

A summary of the MNE-Python changes introduced during the two last releases and highlights for future directions.


MNE-Python software is an open-source Python package for exploring, visualizing, and analyzing human neurophysiological data such as MEG, EEG, sEEG, ECoG, and more. It includes modules for data input/output, preprocessing, visualization, source estimation, time-frequency analysis, connectivity analysis, machine learning, and statistics.


Domains – Data Visualisation, Medicine/Health, Open Source, Simulation Project Homepage / Git Domain Expertise – some Python Skill Level – basic Project Homepage / Git – https://github.com/mne-tools/mne-python Abstract as a tweet – Discover all that MNE-Python has to offer for human neurophysiological data analysis.