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CP$^2$N$^2$: A Control Plane for Heterogeneous Physical Neural Networks
Physical neural networks (PNNs) exploit diverse physical substrates---spanning molecular, wetware, and solid-state devices---to perform embodied neural computation close to physical processes. However, their operational heterogeneity in signal modalities, timing regimes, reset requirements, calibrat
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