mne-tools/mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

What it solves

It provides a comprehensive toolkit for processing and analyzing human neurophysiological data, such as MEG, EEG, sEEG, and ECoG, which often requires specialized preprocessing and visualization tools.

How it works

It functions as a Python package containing dedicated modules for various stages of the data pipeline, including data input/output, preprocessing, time-frequency and connectivity analysis, and source estimation.

Who it’s for

Researchers and scientists studying human brain activity through neurophysiological signals.

Highlights

  • Support for multiple data types including MEG, EEG, sEEG, and ECoG.
  • Integrated machine learning and statistics modules.
  • Tools for source estimation and connectivity analysis.
  • Extensive documentation and tutorials for neurophysiological data exploration.

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