DingWenl / CNN-FormerWithEEG-MELinks
CNN-Former model with EEG-ME for SSVEP classification (TNSRE)
☆13Updated last year
Alternatives and similar repositories for CNN-FormerWithEEG-ME
Users that are interested in CNN-FormerWithEEG-ME are comparing it to the libraries listed below
Sorting:
- Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks☆12Updated 6 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆47Updated 2 years ago
- ☆28Updated 3 months ago
- DDGCNN for ssvep☆15Updated last year
- PyTorch implementation of EEGDfus☆15Updated last year
- Towards Domain Free Transformer for Generalized EEG Pre-training☆27Updated 5 months ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆64Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 5 months ago
- ☆66Updated 2 years ago
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆23Updated 3 months ago
- Temporal information enhanced EEGNet☆13Updated 2 years ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆22Updated 3 years ago
- Codebase for publication "Neural decoding from stereotactic EEG: accounting for electrode variability across subjects" @ NeurIPS (2024)☆16Updated 3 months ago
- Public EEG-based motor imagery (MI) datasets☆10Updated last year
- Repository of EEG-Simpleconv original paper☆43Updated last month
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆16Updated 3 years ago
- Matlab code for SBLEST algorithm☆44Updated 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 3 years ago
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆17Updated last year
- ☆12Updated 2 years ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆22Updated last year
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆26Updated 4 months ago
- In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…☆22Updated 4 years ago
- Deep Learning with EEG.☆21Updated 10 months ago
- ☆23Updated last year
- Contrastive Learning of Shared SpatioTemporal EEG Representations across individuals☆23Updated last year
- ☆38Updated last week
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 4 years ago
- CAUEEG: Chung-Ang University Hospital EEG dataset for automatic EEG diagnosis research☆22Updated 2 years ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆33Updated 6 months ago