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Software (help)
Description: Python package for processing and analysis of EEG and MEG data
Developer: missing developer
Language: Python
License: 3-clause BSD
Database(s): Open Hub
Feature(s): Electroencephalogram analysis

MNE is a software package for processing magnetoencephalography (MEG) and electroencephalography (EEG) data. It is written in Python an relies on Numpy, SciPy and matplotlib.


Developer site:

It is available on PyPI. A manual is also available:


[edit] Command-line interface

View a MEG sample data set in an interactive matplotlib interface:

$ mne browse_raw --raw sample_audvis_raw.fif --proj sample_audvis_ecg_proj.fif --eve sample_audvis_raw-eve.fif

[edit] Python

raw = mne.fiff.Raw('sample_audvis_raw.fif', preload=True)

[edit] Researchers

  1. Alexandre Gramfort
  2. Matti Hämäläinen
  3. Denis A. Engemann
  4. Eric Larson

[edit] Papers

  1. MNE software for processing MEG and EEG data
  2. MEG and EEG data analysis with MNE-Python

[edit] Applications

  1. Graph-based variability estimation in single-trial event-related neural responses

[edit] Related software

  1. DataViewer3D
  2. OpenMEEG
  3. PyEEG
  4. PySurfer
  5. SCoT
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