@yuanfangzhao.bsky.social
Lecturer (Faculty) & Researcher | Computational cognitive neuroscience | Visual cognition | Johns Hopkins University
Han & Bonner map pairs of fMRI data from subs watching the same movie into orthogonal latent dims that maximize covariance. They find meaningful covariance up to 150 dims! Even dims of lower ranks show reliable individual differences correlated to behavior (movie recall).
22.09.2025 02:17 — 👍 0 🔁 0 💬 0 📌 0New preprint out!
“Separate Neural Representations for Physical and Communicative Social Interactions: Evidence from Data-driven Voxel Decomposition” w/ @emaliemcmahon.bsky.social @lisik.bsky.social
osf.io/preprints/ps...
