arXiv Machine Learning June 4, 2026 By Ram\'on Nartallo-Kaluarachchi, Renaud Lambiotte, Alain Goriely

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks

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arXiv:2602. 14885v2 Announce Type: replace-cross Abstract: Recurrent neural networks (RNNs) provide a theoretical framework for understanding computation in biological neural circuits, yet classical results, such as Hopfield's model of associative memory, rely on symmetric connectivity that restricts network dynamics to gradient-like flows.

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