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Version 1.13.2
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MNE-Python Homepage#

MNE-Python MNE-Python

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

dSPM

Source Estimation

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

Decoding

Machine Learning

Advanced decoding models including time general­iza­tion.

STRF

Encoding Models

Receptive field estima­tion with optional smooth­ness priors.

Clusters

Statistics

Parametric and non-parametric, permutation tests and clustering.

Connectivity

Connectivity

All-to-all spectral and effective connec­tivity measures.

Visualization

Data Visualization

Explore your data from multiple perspectives.

Current Sponsors & Partner Institutions

National Institutes of Health
US National Science Foundation
aalto
aalto_dk
donders
graz
uw
uw_dk

Contributor avators will appear here in full doc builds. Set MNE_ADD_CONTRIBUTOR_IMAGE=true in your environment to generate it.

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Installing MNE-Python

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