Microscopic Imprints of Learned Solutions in Tunable Networks
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Author(s): Marcelo Guzman, Felipe Martins, Menachem Stern, and Andrea J. Liu Physical constraints on networks, such as electrical resistor networks that learn on their own, offer interpretable insights into how learning tasks are performed and suggest a universal framework that extends to mechanical and biological systems. [Phys. Rev. X 15, 031056] Published Wed Aug 27, 2025

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