AI RESEARCH
A Nonlinear Separation Principle: Applications to Neural Networks, Control and Learning
arXiv CS.LG
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ArXi:2604.15238v1 Announce Type: cross This paper investigates continuous-time and discrete-time firing-rate and Hopfield recurrent neural networks (RNNs), with applications in nonlinear control design and implicit deep learning. First, we