Excitable laser processing network node in hybrid silicon: Analysis and simulation

Mitchell A. Nahmias, Alexander N. Tait, Bhavin J. Shastri, Thomas Ferreira De Lima, Paul R. Prucnal

Research output: Contribution to journalArticlepeer-review

39 Scopus citations


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. In addition, it can be instantiated on a photonic integrated circuit platform and requires no off-chip optical I/O. Our proposed processing system could find use in emerging applications, including cognitive radio and low-latency control.

Original languageEnglish (US)
Pages (from-to)26800-26813
Number of pages14
JournalOptics Express
Issue number20
StatePublished - Oct 5 2015

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics


Dive into the research topics of 'Excitable laser processing network node in hybrid silicon: Analysis and simulation'. Together they form a unique fingerprint.

Cite this