EEGdecoding / Code-SBLEST
Matlab code for SBLEST algorithm
☆39Updated 10 months ago
Alternatives and similar repositories for Code-SBLEST:
Users that are interested in Code-SBLEST are comparing it to the libraries listed below
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆60Updated last month
- ☆56Updated last year
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆13Updated last year
- code for LMDA☆70Updated last year
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆38Updated 3 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆56Updated last year
- ☆28Updated last month
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆16Updated 4 months ago
- ☆12Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆41Updated 2 years ago
- ACM MM 2023☆39Updated 3 months ago
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆13Updated 2 years ago
- ☆67Updated 2 months ago
- ☆12Updated last year
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆50Updated last month
- ☆29Updated 8 months ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆35Updated last year
- This is a community implementation of EEG-ConvTransformer☆18Updated last year
- CNN-Former model with EEG-ME for SSVEP classification☆12Updated 4 months ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆46Updated last year
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆35Updated last year
- Towards Domain Free Transformer for Generalized EEG Pre-training☆25Updated last year
- ☆36Updated 3 years ago
- ☆33Updated last year
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆27Updated 4 years ago
- This repository is the official implementation of “Transfer learning for brain-computer interfaces: A Euclidean space data alignment appr…☆21Updated 3 years ago
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆19Updated 2 years ago
- ☆8Updated last year
- ☆11Updated 10 months ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆20Updated 2 years ago