magnetoencephalography
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.
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
Contextual MEG/EEG source estimation: an LSTM learns the temporal context of brain activity to sharpen dSPM/MNE estimates. PyTorch + ONNX, MNE-Python compatible.
MEGaNorm is a Python package for normative modeling on MEG and EEG data.
group sequential tests for neuroimaging
All-resolutions Inference for M/EEG in Python
realtime HPI monitor for MEG
Open-source Python package for measuring consciousness.
