sabinechen / SPD-CNN-Using-Meta-Transfer-Learing-EEG-Cross-Subject-learningLinks
SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-Learning
☆22Updated 2 years ago
Alternatives and similar repositories for SPD-CNN-Using-Meta-Transfer-Learing-EEG-Cross-Subject-learning
Users that are interested in SPD-CNN-Using-Meta-Transfer-Learing-EEG-Cross-Subject-learning are comparing it to the libraries listed below
Sorting:
- 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
- ☆38Updated 2 months ago
- ☆66Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- This repository is the official implementation of “Different Set Domain Adaptation for Brain Computer Interfaces: A Label Alignment Appro…☆21Updated 3 years ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆20Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆70Updated 2 months ago
- Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks☆12Updated 5 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 4 years ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆28Updated 4 months ago
- ☆25Updated 7 months ago
- ☆11Updated last year
- ☆9Updated 3 years ago
- CNN-Former model with EEG-ME for SSVEP classification (TNSRE)☆13Updated 10 months ago
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆17Updated last year
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆15Updated 3 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆38Updated last year
- ☆16Updated 7 months ago
- Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆98Updated last year
- ☆37Updated last year
- IEEE Transactions on Emerging Topics in Computational Intelligence☆66Updated 3 months ago
- code for LMDA☆81Updated 2 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆21Updated 2 years ago
- Repository of EEG-Simpleconv original paper☆42Updated last year
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆15Updated 2 years ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆26Updated 2 months ago
- This repository contains the python scripts developed as a part of the work presented in the paper "STAnet: A Spatiotemporal Attention Ne…☆11Updated 2 years ago
- Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)☆45Updated 4 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆42Updated last year
- Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption☆26Updated 3 years ago