| # THINGS-EEG | |
| This dataset is a processed version of **THINGS-EEG**, derived from the paper [Bridging the Vision-Brain Gap with an Uncertainty-Aware Blur Prior](https://arxiv.org/abs/2503.04207) (CVPR 2025). In this version, the EEG data is stored in float16 format, reducing the storage size by half. The original official dataset can be accessed from the [OSF repository](https://osf.io/anp5v/files/osfstorage). | |
| Original official dataset: | |
| - [A large and rich EEG dataset for modeling human visual object recognition](https://www.sciencedirect.com/science/article/pii/S1053811922008758) [THINGS-EEG] | |
| ## Citation | |
| ```bibtex | |
| @InProceedings{Wu2025UBP, | |
| title = {Bridging the Vision-Brain Gap with an Uncertainty-Aware Blur Prior}, | |
| author = {Wu, Haitao and Li, Qing and Zhang, Changqing and He, Zhen and Ying, Xiaomin}, | |
| booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, | |
| year = {2025} | |
| } | |
| @article{gifford2022large, | |
| title={A large and rich EEG dataset for modeling human visual object recognition}, | |
| author={Gifford, Alessandro T and Dwivedi, Kshitij and Roig, Gemma and Cichy, Radoslaw M}, | |
| journal={NeuroImage}, | |
| volume={264}, | |
| pages={119754}, | |
| year={2022}, | |
| publisher={Elsevier} | |
| } | |
| ``` |