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. Try it

Statistics

Parametric and non-parametric, permutation tests and clustering. Try it

Machine learning

Advanced decoding models including time generalization. Try it

Encoding models

Receptive field estimation with optional smoothness priors. Try it

Connectivity

All-to-all spectral and effective connectivity measures. Try it

Data visualization

Explore your data from multiple perspectives. Try it

Version 0.22.1

• What’s new

• Installation

• Documentation

• Cite

Direct financial support

• National Institutes of Health: R01-EB009048, EB009048, EB006385, HD40712, NS44319, NS37462, NS104585, P41-EB015896, RR14075-06

• US National Science Foundation: 0958669, 1042134

• European Research Council: YStG-263584, 676943

• US Department of Energy: DE-FG02-99ER62764 (MIND)

• Agence Nationale de la Recherche: 14-NEUC-0002-01

  IDEX Paris-Saclay, 11-IDEX-0003-02

• Paris-Saclay Center for Data Science: PARIS-SACLAY

• Google: Summer of code (×6)

• Amazon: AWS Research Grants

• Chan Zuckerberg Initiative: Essential Open Source Software for Science