MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
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Updated
May 29, 2024 - Python
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
realtime HPI monitor for MEG
Python software to design current-carrying coils inside magnetically shielded cylinders to generate arbitrary static magnetic field profiles.
TRAP MUSIC algorithm for MEG/EEG multi-source localization
Neural networks for EEG-MEG decoding with MNE-python and Tensorflow. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001795
GUI for easy MEG to BIDS conversion
Make FieldLine OPM sensor data available via an LSL stream
Visualisation & processing of MEG data and networks on meshes. A bunch of functions, examples and a gui.
M.Sc.Eng Degree Project in Computer Science. 🌻
The code used for my Master's thesis: "Detecting mild traumatic brain injury from magnetoencephalography data using machine learning"
Simple GUI that implements Scorepochs algorithm and provides graphical support to aid M/EEG experts during epoch selection procedure.
Analysis scripts for the FaceName-Brain manuscript
Open-source Python package for measuring consciousness.
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