04:00
2026-09-18
arxiv.org
neural-networks
Learning-Induced Dynamical Transition in Recurrent Neural Networks
A non-equilibrium dynamical mean-field theory (DMFT) developed by researchers describes how learning in recurrent neural networks drives a transition from chaotic to stable task-dependent dynamics, ac…