MNE-Python Homepage

Open-source Python package for exploring, visualizing, and analyzing human neurophysiological data: MEG, EEG, sEEG, ECoG, NIRS, and more.

Source Estimation

Distributed, sparse, mixed-norm, beam­formers, dipole fitting, and more.

Machine Learning

Advanced decoding models including time general­iza­tion.

Encoding Models

Receptive field estima­tion with optional smooth­ness priors.

Statistics

Parametric and non-parametric, permutation tests and clustering.

Connectivity

All-to-all spectral and effective connec­tivity measures.

Data Visualization

Explore your data from multiple perspectives.

Funders

Supporting institutions

Contributors