There are 4 repositories under magnetoencephalography topic.
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Deep learning software to decode EEG, ECG or MEG signals
Automated rejection and repair of bad trials/sensors in M/EEG
MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
Eye movement and blink-related EEG and MEG artifact correction algorithms
Task-Evoked Dynamic Network Analysis through Hidden Markov Modelling
All-resolutions Inference for M/EEG in Python
A multipurpose matlab-based MEG/EEG overlay & network plotter
Visualisation & processing of MEG data and networks on meshes. A bunch of functions, examples and a gui.
group sequential tests for neuroimaging
LIMO MEEG landing page and meta documents
GUI for easy MEG to BIDS conversion
Transient event detection with Hidden Markov Models
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
TRAP MUSIC algorithm for MEG/EEG multi-source localization
scorEpochs: a computer aided scoring tool for resting-state M/EEG epochs
M.Sc.Eng Degree Project in Computer Science. :sunflower:
BESA MATLAB Scripts
Simple GUI that implements Scorepochs algorithm and provides graphical support to aid M/EEG experts during epoch selection procedure.
The code used for my Master's thesis: "Detecting mild traumatic brain injury from magnetoencephalography data using machine learning"
An implementation of the FastICA algorithm for unsupervised spatio-temporal cleaning of CTF MEG data
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
Portfolio assignment for advanced cognitive neuroscience (F2023)
Tutorial covering group DCM analyses of fMRI and M/EEG
Analysis scripts for the FaceName-Brain manuscript
Spontaneous Movements' Initiation under Temporal uncertainty
Open-source Python package for measuring consciousness.
Tracking Information Flow in Dynamic Communication in the Brain Networks: Optimal Localization of the Brain Sources and Developing Functional Connectivity Approaches using MEG
Make FieldLine OPM sensor data available via an LSL stream
Monitors the Batch.txt logfile to check the progress of BESA batches. When the batch stops (from crashing or completion), Amazon AWS SNS service will send an email notification.
Given a directory of MEG files containing all participants, this PowerShell script will create a folder based on the participant ID, and move MEG files into their corresponding participant folder.