MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Deep learning software to decode EEG, ECG or MEG signals
MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
MNE-CPP: The C++ framework for real-time functional brain imaging.
Automated rejection and repair of bad trials/sensors in M/EEG
EEG-DaSh: an open data, tool, and compute resource. a Python library and catalog for 700+ BIDS-first EEG, MEG, fNIRS, EMG, and iEEG datasets, ML-ready via PyTorch
Eye movement and blink-related EEG and MEG artifact correction algorithms
A multipurpose matlab-based MEG/EEG overlay & network plotter
All-resolutions Inference for M/EEG in Python
Compact and interpretable MEG-to-audio retrieval with explicit spatial and temporal filters.
Task-Evoked Dynamic Network Analysis through Hidden Markov Modelling
Visualisation & processing of MEG data and networks on meshes. A bunch of functions, examples and a gui.
group sequential tests for neuroimaging
MEGaNorm is a Python package for normative modeling on MEG and EEG data.
LIMO MEEG landing page and meta documents
GUI for easy MEG to BIDS conversion
Python software to design current-carrying coils inside magnetically shielded cylinders to generate arbitrary static magnetic field profiles.
Transient event detection with Hidden Markov Models
scorEpochs: a computer aided scoring tool for resting-state M/EEG epochs
Tutorial covering group DCM analyses of fMRI and M/EEG
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