Excitable laser processing network node in hybrid silicon: analysis and simulation Mitchell A. Nahmias,∗ Alexander N. Tait, Bhavin J. Shastri, Thomas Ferreira de Lima, and Paul R. Prucnal Electrical Engineering Dept., Princeton University, Princeton, NJ 08544, USA. ∗[email protected] Abstract: The combination of ultrafast laser dynamics and dense on-chip multiwavelength networking could potentially address new domains of real-time signal processing that require both speed and complexity. We present a physically realistic optoelectronic simulation model of a circuit for dynamical laser neural networks and verify its behavior. We describe the physics, dynamics, and parasitics of one network node, which includes a bank of filters, a photodetector, and excitable laser. This unconventional circuit exhibits both cascadability and fan-in, critical properties for the large-scale networking of information processors based on laser excitability. 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In this context, there has been significant re- search in using laser dynamics for both information processing [1–3] and communication [4,5]. Multiplexing in optical networks have also been exploited for similar gains in performance [6, 7].