arXiv cs.NE
· Papers
Emergent Generalization by Representation Learning in Artificial Neural Networks
arXiv:2607.10430v1 Announce Type: cross Abstract: 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 whet