soupeeli / NeuroBOLTLinks
[NeurIPS 2024] Code release for NeuroBOLT
☆28Updated last month
Alternatives and similar repositories for NeuroBOLT
Users that are interested in NeuroBOLT are comparing it to the libraries listed below
Sorting:
- [ICLR 2025] NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals☆84Updated 4 months ago
- ☆22Updated last year
- ☆32Updated last year
- ☆42Updated 6 months ago
- Pre-trained Transformer on Brain Signals☆32Updated 4 months ago
- [ICLR 2023] Code for BrainBERT☆63Updated this week
- ☆27Updated last year
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆163Updated 2 months ago
- [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding☆168Updated last month
- Codebase for publication "Neural decoding from stereotactic EEG: accounting for electrode variability across subjects" @ NeurIPS (2024)☆15Updated 3 months ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆145Updated last year
- NeurIPS 2024 poster☆26Updated 8 months ago
- ☆66Updated 2 years ago
- Matlab code for SBLEST algorithm☆44Updated last year
- KDD24 - EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs☆70Updated 7 months ago
- The World's First Foundational Model for EEG-based Alzheimer's Disease Detection☆58Updated 7 months ago
- An open source tool for large-scale EEG datasets processing☆49Updated 3 months ago
- Using vision-language models to decode natural image perception from non-invasive brain recordings.☆66Updated 2 months ago
- [Preparing] DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding☆25Updated last month
- Contrastive Learning of Shared SpatioTemporal EEG Representations across individuals☆23Updated last year
- Using vision-language models to decode natural image perception from non-invasive brain recordings.☆156Updated 2 months ago
- ☆10Updated 10 months ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆48Updated 2 years ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆22Updated last year
- Global Adaptive Transformer for Cross-Subject EEG Classification.☆28Updated last year
- Use DNNs to build encoding models of EEG visual responses.☆90Updated 6 months ago
- [tnnls 2025] Language-guided contrastive learning for M/EEG-based image recognition.☆23Updated 9 months ago
- Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 202…☆195Updated 10 months ago
- ☆12Updated last year
- Self-supervised learning techniques for neuroimaging data inspired by prominent learning frameworks in natural language processing + One …☆104Updated 2 years ago