AI RESEARCH
StableMind: Source-Free Cross-Subject fMRI Decoding with Regularized Adaptation
arXiv CS.CV
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ArXi:2605.02586v1 Announce Type: new Existing cross-subject fMRI decoding methods typically train a model on multiple scanned subjects and then adapt it to a new subject using substantial paired fMRI-image data. However, in realistic scenarios, new-subject fMRI data are often limited due to costly data acquisition, and raw data from previous subjects may be inaccessible, leading existing methods to suffer performance degradation during new-subject adaptation.