Quantifying task-relevant representational similarity using decision variable correlation

ArXi:2506.02164v4 Announce Type: replace-cross Previous studies have compared neural activities in the visual cortex to representations in deep neural networks trained on image classification. Interestingly, while some suggest that their representations are highly similar, others argued the opposite. Here, we propose a new approach to characterize the similarity of the decision strategies of two observers (models or brains) using decision variable correlation