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Silicon photonic integration could enable high-performance brain-inspired photonic processors. We demonstrate a 3 node recurrent photonic neural network. Cusp and Hopf bifurcations induced by synaptic reconfiguration are shown as proof-of-concept. The prototype represents an early step towards network-based models of physical computing with integrated photonics.
We propose and simulate a novel integrated thresholder based on nonlinear silicon microring resonators. By interfering the complementary effects of two resonators, the proposed device achieves a sharp threshold with flat one- and zero-levels.
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