MNE-Python 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, ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

This package provides 82 inverse solvers for M/EEG source imaging, integrating with the mne-python framework. It covers minimum norm methods, beamformers, Bayesian approaches, sparse recovery, ...