Demonstration of a silicon photonic neural network
Alexander N. Tait, Ellen Zhou, Allie X. Wu, Mitchell A. Nahmias, Thomas Ferreira de Lima, Bhavin J. Shastri, Paul R. Prucnal · 2016
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.