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

Quick start