Beyond Accuracy: Counterfactual Auditing of fMRI Representations
Self-supervised learning is increasingly applied to functional neuroimaging, yet existing evaluations rely mainly on downstream prediction accuracy, offering limited insight into whether learned representations preserve biologically meaningful structure. We propose Generative Manifold Auditing (GMA), a framework that p...