Author

Varun Vaidya

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#machine learning Preprint Sep 2026

Learning-Induced Dynamical Transition in Recurrent Neural Networks

Learning in recurrent neural networks can fundamentally reshape their underlying dynamics, transforming initially chaotic activity into stable task-dependent behavior. We develop a non-equilibrium dynamical mean-field theory(DMFT) to describe this transition during learning. We show that a slow feedback-driven learning...

Varun Vaidya · 0 citations