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.

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