Brain-IT-VQA: From Brain Signals to Answers
Brain-IT-VQA decodes visual questions from fMRI signals by translating brain activity into language tokens and integrating them with a vision-language model. It uses a novel benchmark, NSD-VQA, to test how different brain regions encode visual information, showing that coarse scene understanding is easier to decode than fine details.