MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
-
Updated
May 13, 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
A multipurpose matlab-based MEG/EEG overlay & network plotter
Eye movement and blink-related EEG and MEG artifact correction algorithms
Portfolio assignment for advanced cognitive neuroscience (F2023)
Task-Evoked Dynamic Network Analysis through Hidden Markov Modelling
realtime HPI monitor for MEG
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.
BESA MATLAB Scripts
LIMO MEEG landing page and meta documents
TRAP MUSIC algorithm for MEG/EEG multi-source localization
All-resolutions Inference for M/EEG in Python
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
Modeling and MEG evidence of early consonance processing in auditory cortex (Tabas et al 2019)
An implementation of the FastICA algorithm for unsupervised spatio-temporal cleaning of CTF MEG data
Add a description, image, and links to the magnetoencephalography topic page so that developers can more easily learn about it.
To associate your repository with the magnetoencephalography topic, visit your repo's landing page and select "manage topics."