2025
Learning Dynamics of RNNs in Closed-Loop Environments
NeurIPS 2025poster
Recurrent neural networks (RNNs) trained on neuroscience-inspired tasks offer powerful models of brain computation. However, typical training paradigms rely on open-loop, supervised settings, whereas real-world learning unfolds in closed-loop environments. Here, we develop a mathematical theory desc…