A framework for real-time brain signal streaming with MNE-Python.

Matlab and Python implementation of the Joint Decorrelation Algorithm

(CVPR24) Riemannian Multinomial Logistics Regression for SPD Neural Networks

This project contains the code for a deep learning architecture to analyze EEG data.

Domain adaptation toolbox compatible with scikit-learn and pytorch

Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG

Materials associated to the CuttingGarden session dedicated to BCI

Official PyTorch implementation of improved B-cos models

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Deep learning software to decode EEG, ECG or MEG signals

This is the official GitHub repo for "Deep Optimal Transport for Domain Adaptation on SPD Manifolds"

Mother of All BCI Benchmarks

This is the python implementation of Tensor-CSPNet and Graph-CSPNet.

Collection of materials and links to talks given, tools presented, software demos etc.

Self-supervised learning techniques for neuroimaging data inspired by prominent learning frameworks in natural language processing + One of the broadest neuroimaging datasets used for pre-training …

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

Automatic labeling of ICA components in Python.

Eye movement and blink-related EEG and MEG artifact correction algorithms

Reading list for research topics in multimodal machine learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

A list of openly available datasets in (mostly human) electrophysiology.