AI RESEARCH
Duala: Dual-Level Alignment of Subjects and Stimuli for Cross-Subject fMRI Decoding
arXiv CS.CV
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ArXi:2603.07625v1 Announce Type: new Cross-subject visual decoding aims to reconstruct visual experiences from brain activity across individuals, enabling scalable and practical brain-computer interfaces. However, existing methods often suffer from degraded performance when adapting to new subjects with limited data, as they struggle to preserve both the semantic consistency of stimuli and the alignment of brain responses.