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

Speed

Multi-core CPU & GPU.

Usability

Clean scripting & visualization.

Flexibility

Broad data format & analysis support.

Source estimation

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

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Statistics

Parametric and non-parametric, permutation tests and clustering.

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Machine learning

Advanced decoding models including time generalization.

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Encoding models

Receptive field estimation with optional smoothness priors.

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Connectivity

All-to-all spectral and effective connectivity measures.

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Data visualization.

Explore your data from multiple perspectives.

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Data I/O

Preprocessing

Visualization

Source estimation

Time-frequency

Connectivity

Machine learning

Statistics

Direct financial support:

• NIH 5R01EB009048, 1R01EB009048, R01EB006385, 1R01HD40712, 1R01NS44319, 2R01NS37462, P41EB015896

• NSF 0958669, 1042134

• NCRR P41RR14075-06

• DoE DE-FG02-99ER62764 (MIND)

• Amazon - AWS Research Grants

Direct financial support:

• IDEX Paris-Saclay, ANR-11-IDEX-0003-02 CDS

• ERC ERC-YStG-263584, ERC-YStG-676943

• ANR ANR-14-NEUC-0002-01