Learning-Induced Dynamical Transition in Recurrent Neural Networks
It is shown that a slow feedback-driven learning process generates an evolving effective feedback strength that drives the network through a transition from chaotic to stable dynamics defined by a bifurcation of the DMFT solution.
Varun Vaidya
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