mne-python topic
autoreject
Automated rejection and repair of bad trials/sensors in M/EEG
mne-bids-pipeline
Automatically process entire electrophysiological datasets using MNE-Python.
PyEEGLab
Analyze and manipulate EEG data using PyEEGLab.
mne-realtime
Realtime data analysis with MNE-Python
esinet
EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your MNE-based M/EEG code
mne-rsa
Representational Similarity Analysis on MEG and EEG data
mne-connectivity
Connectivity algorithms that leverage the MNE-Python API.
omission_frontiers
Analysis scripts for group analysis of MEG data in both Python and MATLAB associated with Andersen, L.M., 2018. Group Analysis in MNE-Python of Evoked Responses from a Tactile Stimulation Paradigm: A...
preprocessing_pipelines
Preprocessing Pipelines for EEG (MNE-python), fMRI (nipype), MEG (MNE-python/autoreject) data
MNE-Preprocessing
MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.