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Open-source Python package for exploring, visualizing, and analyzing human neurophysiological data. MNE-Python is an open-source Python package for exploring, visualizing, and analyzing human neurophysiological data such as MEG, EEG, sEEG, ECoG, and more. It includes modules for data input/output, preprocessing, visualization, source estimation, time-frequency analysis, connectivity analysis, machine learning, statistics, and more.
Features
- MEG, EEG, sEEG, ECoG, NIRS, and more
- Documentation for MNE-Python encompasses installation instructions, tutorials, and examples
- The user forum is the best place to ask questions about MNE-Python usage or the contribution process
- Distributed, sparse, mixed-norm, beamformers, dipole fitting, and more
- Receptive field estimation
- Explore your data from multiple perspectives
- Examples available
Project Samples
Categories
Machine LearningLicense
BSD LicenseFollow MNE-Python
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