perceivelab / eeg_visual_classification
☆81Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for eeg_visual_classification
- EEG2IMAGE: Image Reconstruction from EEG Brain Signals. [ICASSP 2023]☆64Updated 7 months ago
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆105Updated 5 months ago
- Using vision-language models to decode natural image perception from non-invasive brain recordings.☆98Updated this week
- Pytorch code of paper "Learning Robust Deep Visual Representations from EEG Brain Recordings". [WACV 2024]☆31Updated 8 months ago
- Implementation for the paper https://dl.acm.org/citation.cfm?doid=3240508.3240641☆40Updated 8 months ago
- ☆28Updated last month
- Image reconstruction from visual evoked potentials using latent diffusion☆24Updated 4 months ago
- Use DNNs to build encoding models of EEG visual responses.☆71Updated 2 months ago
- ICLR 2024 spotlight☆246Updated 5 months ago
- code for LMDA☆66Updated last year
- Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy☆73Updated 4 months ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆197Updated 4 months ago
- An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.☆40Updated last year
- Exploration of diffuison-based generative model to sychronizing brain dynamics from semantic language input.☆34Updated last year
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆87Updated 11 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆58Updated 7 months ago
- ☆56Updated 8 months ago
- Deep Learning pipeline for motor-imagery classification.☆56Updated 2 years ago
- Official code repository for the paper: "BrainVis: Exploring the Bridge between Brain and Visual Signals via Image Reconstruction"☆44Updated 3 months ago
- Code for the paper "Neuro-GPT: Towards a Foundation Model for EEG"☆131Updated 6 months ago
- A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BCI)☆36Updated 5 months ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆86Updated last year
- Using vision-language models to decode natural image perception from non-invasive brain recordings.☆19Updated this week
- ☆25Updated last year
- ☆108Updated 3 months ago
- [EMNLP 2023] An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram☆28Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆38Updated 3 years ago
- code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"☆169Updated 4 months ago
- ☆55Updated last year
- ☆31Updated 9 months ago