MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
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Updated
Dec 22, 2024 - Python
Electroencephalography (EEG) is a non-invasive method for recording electrical activity in the brain, first performed on humans by Hans Berger in 1924 (Berger, 1929).
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Deep learning software to decode EEG, ECG or MEG signals
ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides eno…
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.
Low Cost Electroencephalogram Based Brain-Computer-Interface
Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.
3D Visualization of Brain MRI
Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"
Eye movement and blink-related EEG and MEG artifact correction algorithms
This repository provides analysis code to analyze intracranial electrophysiological data with data-driven spatial filters.
Plotting and visualization tools for EEG data, with additional Unfold.jl regression ERP methods. Based on the visualization libraries Makie.jl and AlgebraOfGraphics.jl
Brain Control Interface based smart wheelchair. Actions include start, turn left, right, stop with your brain and eye blinks
All-resolutions Inference for M/EEG in Python
Assorted machine learning implementations for medical data.
In this project, we address the problem of eye-blink detection and analysis of left and right human eye blinks using EEG signals with help of Neurosky Mindwave Mobile. The purpose of this project is to monitor and understanding of eye blinks for proper communication with a person
Sleep Data Analysis with R
🎧 Muse - The brain sensing headband plus attention level
Developed an Electroencephalography(EEG) based Brain Computer Interface to play Pong with brain activity