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

MNE-Python Screenshot 1

Project Activity

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Categories

Machine Learning

License

BSD License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software

Registered

2024-08-07
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