arxivq-bio.NCcs.ITcs.LGcs.NEnlin.CD2026-07-11
Emergent Generalization by Representation Learning in Artificial Neural Networks
Dimensionality reduction has proven powerful for identifying neural manifolds, which are low-dimensional structures underlying high-dimensional neural activity. These low-dimensional representations have improved the interpretability of population-level coding. Yet whether such l…