MNE tools for MEG and EEG data analysis
MNE-tools hosts a collection of software packages for analysis of (human) neuroimaging data, with emphasis on EEG, MEG, ECoG, iEEG, and fNIRS data. Limited support for MRI data is also provided, mostly for defining brain surfaces/volumes used to restrict inverse imaging of external (MEG) or scalp-based (EEG) data. For more in-depth MRI or fMRI analysis, see http://nipy.org/.
Projects hosted by the MNE-tools organization are governed by our Community Guidelines.
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Repositories
Showing 10 of 48 repositories
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mne-nirs Public
Process Near-Infrared Spectroscopy Data in MNE
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mne-python Public
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
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mne-denoise Public
mne-denoise provides narrow-band artefact removal tailored to MNE-Python workflows. It wraps harmonic regression techniques to suppress power-line noise and other oscillatory contaminants while preserving signal rank and interpretability.
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mne-connectivity Public
Connectivity algorithms that leverage the MNE-Python API.
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mne-bids-pipeline Public
Automatically process entire electrophysiological datasets using MNE-Python.
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mne-bids Public
MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
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mne-icalabel Public
Automatic labeling of ICA components in Python.
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