Learning reveals invisible structure in low-rank RNNs.

arXiv:2605.04115v2 Announce Type: replace-cross Abstract: Learning in neural systems arises from synaptic changes that reshape the representations underlying behavior. While low-rank recurrent neural networks (RNNs) have emerged as a powerful framework for lin