gabi-a / EEG-LiteratureLinks
Notes on methods using EEG for seizure prediction
☆11Updated 5 years ago
Alternatives and similar repositories for EEG-Literature
Users that are interested in EEG-Literature are comparing it to the libraries listed below
Sorting:
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆42Updated last year
- ☆46Updated last year
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆47Updated 2 years ago
- ☆22Updated 2 years ago
- 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
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆22Updated 2 years ago
- Analysis of Transformer attention in EEG signal classification☆45Updated last year
- This repository is the official implementation of “Different Set Domain Adaptation for Brain Computer Interfaces: A Label Alignment Appro…☆21Updated 3 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆22Updated 2 years ago
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆38Updated last year
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 5 years ago
- code for NeurIPS_competition☆28Updated 3 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆35Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- ☆19Updated 5 months ago
- Pytorch implementation of "Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI"☆23Updated 3 years ago
- The project is about applying CNNs to EEG data from CHB-MIT to predict seizure☆120Updated 2 years ago
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆41Updated 4 years ago
- Machine learning on the CHB-MIT scalp EEG database☆28Updated 3 years ago
- seizure type classification using TUH dataset☆75Updated last year
- ☆16Updated 8 months ago
- ☆11Updated last year
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆44Updated last month
- Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)☆45Updated 4 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆67Updated 4 months ago
- ☆66Updated 2 years ago
- Self-supervised learning for EEG☆26Updated 5 years ago
- Parallel Spatial--Temporal Self-attention CNN-based Motor Imagery Classification for BCI☆32Updated 4 years ago
- This is a community implementation of EEG-ConvTransformer☆16Updated 2 years ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆112Updated 2 years ago