Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

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这项由上海交通大学主导，联合清华大学、新加坡国立大学以及蚂蚁集团共同开展的研究，发表于2026年6月的ACM数据管理顶级期刊《Proceedings of the ACM on Management of Data》第4卷第3期（SIGMOD 2026），论文编号为Article 141，DOI为10.1145/3802018。