AI RESEARCH
EmoMind: Decoding Affective Captions from Human Brain fMRI
arXiv CS.LG
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ArXi:2605.16739v1 Announce Type: new Decoding visual experience from brain activity has advanced substantially, but cur- rent brain-to-text systems largely recover semantic content while discarding affect. Additionally, language models can generate emotional text when prompted with categorical labels, but such labels collapse rich inter-subject variability into coarse discrete bins. We present EmoMind, the first end-to-end pipeline for decoding affective captions directly from fMRI signals.