neerajwagh / eeg-self-supervision
Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!
☆21Updated last year
Related projects ⓘ
Alternatives and complementary repositories for eeg-self-supervision
- ☆35Updated 3 years ago
- ☆55Updated last year
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆43Updated last year
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L …☆16Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆39Updated 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
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆31Updated 2 years ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆87Updated 11 months ago
- ☆26Updated 2 months ago
- This repository is the official implementation of “Different Set Domain Adaptation for Brain Computer Interfaces: A Label Alignment Appro…☆21Updated 2 years ago
- Submission to the Motor Imagery track of BEETL competition, organized within NeurIPS 2021☆11Updated 2 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆27Updated 4 years ago
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆12Updated 2 years ago
- Global Adaptive Transformer for Cross-Subject EEG Classification.☆23Updated 10 months ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆12Updated 4 months ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆34Updated last year
- ☆14Updated last year
- A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BCI)☆36Updated 5 months ago
- CNN-Former model with EEG-ME for SSVEP classification☆11Updated 2 months ago
- Classification of EEG signals into silence vs listening☆19Updated 2 years ago
- ☆29Updated 7 months ago
- Temporal information enhanced EEGNet☆13Updated last year
- This is a community implementation of EEG-ConvTransformer☆17Updated last year
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆47Updated 2 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆40Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆58Updated 7 months ago
- Self-supervised learning for EEG☆23Updated 4 years ago
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆12Updated last year
- Matlab code for SBLEST algorithm☆37Updated 8 months ago
- ☆12Updated last year