EEGdecoding / Code-SBLESTLinks
Matlab code for SBLEST algorithm
☆44Updated last year
Alternatives and similar repositories for Code-SBLEST
Users that are interested in Code-SBLEST are comparing it to the libraries listed below
Sorting:
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 2 weeks ago
- ☆66Updated 2 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆65Updated 2 years ago
- CNN-Former model with EEG-ME for SSVEP classification (TNSRE)☆14Updated last year
- ☆97Updated 11 months ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆91Updated 4 months ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆64Updated last year
- code for LMDA☆84Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆48Updated 3 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆28Updated 5 months ago
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆16Updated 2 years ago
- ☆17Updated 2 years ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆23Updated 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☆37Updated 4 years ago
- ☆24Updated last year
- Deep Learning with EEG.☆23Updated 2 weeks ago
- ☆40Updated last month
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆55Updated 4 years ago
- Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks☆12Updated 6 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆140Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Updated 2 years ago
- ☆14Updated 2 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆68Updated 6 months ago
- ☆37Updated last year
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆23Updated 3 years ago
- Public EEG Dataset☆65Updated 2 years ago
- DDGCNN for ssvep☆15Updated last year
- An open source tool for large-scale EEG datasets processing☆52Updated last month
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆59Updated 3 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago