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E. Shea-Brown

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#machine learning Preprint May 2026

Center-Manifold Reduction of Learning at Bifurcations: Interference and Rich Learning in Recurrent Neural Networks

These results suggest a tractable operator-level description of learning near dynamical transitions, together with scalable diagnostics for amplified low-dimensional learning geometry.

James Hazelden, E. Shea-Brown · 0 citations