2025
Efficient Training of Minimal and Maximal Low-Rank Recurrent Neural Networks
NeurIPS 2025poster
Low-rank recurrent neural networks (RNNs) provide a powerful framework for characterizing how neural systems solve complex cognitive tasks. However, fitting and interpreting these networks remains an important open problem. In this paper, we develop new methods for efficiently fitting low-rank RNNs…