eeyhsong / NICE-EEG
[ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii. Resolving brain activity for biological plausibility.
☆97Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for NICE-EEG
- Using vision-language models to decode natural image perception from non-invasive brain recordings.☆93Updated 2 weeks ago
- ☆29Updated 9 months ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆81Updated 10 months ago
- ☆54Updated last year
- code for LMDA☆64Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆59Updated 6 months ago
- ICLR 2024 spotlight☆232Updated 5 months ago
- A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BCI)☆34Updated 5 months ago
- ☆27Updated 5 months ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆86Updated last year
- ☆80Updated 3 years ago
- Deep Learning pipeline for motor-imagery classification.☆56Updated 2 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆194Updated 4 months ago
- Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals☆42Updated 11 months ago
- Use DNNs to build encoding models of EEG visual responses.☆70Updated last month
- ☆27Updated 3 weeks ago
- Pytorch code of paper "Learning Robust Deep Visual Representations from EEG Brain Recordings". [WACV 2024]☆31Updated 7 months ago
- ☆57Updated this week
- Image reconstruction from visual evoked potentials using latent diffusion☆22Updated 4 months ago
- ☆24Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆39Updated 2 years ago
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆12Updated 4 months ago
- ☆29Updated 6 months ago
- ☆23Updated 2 months ago
- ☆40Updated 2 years ago
- ☆9Updated 2 weeks ago
- An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.☆39Updated last year
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆41Updated last year
- ☆20Updated last year
- ☆54Updated 7 months ago