duanyiqun / Brain-DiffusionLinks
Exploration of diffuison-based generative model to sychronizing brain dynamics from semantic language input.
☆38Updated last year
Alternatives and similar repositories for Brain-Diffusion
Users that are interested in Brain-Diffusion are comparing it to the libraries listed below
Sorting:
- The official implement of Mind's eye: image recognition by EEG via multimodal similarity-keeping contrastive learning.☆36Updated 2 months ago
- Pytorch code of paper "Learning Robust Deep Visual Representations from EEG Brain Recordings". [WACV 2024]☆44Updated last year
- NeurIPS 2024 poster☆26Updated 5 months ago
- Use DNNs to build encoding models of EEG visual responses.☆85Updated 3 months ago
- ☆35Updated 4 months ago
- An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.☆45Updated 2 years ago
- NeurIPS 24, decoding video from EEG signals☆79Updated 2 months ago
- ☆27Updated last year
- Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals☆56Updated last year
- ☆24Updated this week
- ☆35Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆43Updated 7 months ago
- Using vision-language models to decode natural image perception from non-invasive brain recordings.☆56Updated 7 months ago
- [ICLR 2023] Code for BrainBERT☆58Updated 5 months ago
- Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy☆89Updated 6 months ago
- ☆65Updated last year
- ☆27Updated 9 months ago
- [ICLR 2025] NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals☆59Updated last month
- Using Stable Diffusion on the DEAP Dataset to argument new data and improve classification☆20Updated 2 years ago
- ☆49Updated last month
- ☆38Updated 4 years ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆55Updated 2 weeks ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆133Updated last year
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆155Updated 6 months ago
- Global Adaptive Transformer for Cross-Subject EEG Classification.☆28Updated last year
- ☆141Updated 6 months ago
- Contrastive Learning of Shared SpatioTemporal EEG Representations across individuals☆22Updated last year
- ☆102Updated 4 years ago
- ☆20Updated 11 months ago
- collection of awesome research in brain decoding, including interaction with multi-modalities, theories, and foundation models.☆72Updated 2 weeks ago