Neuromorphic Photonic Integrated Circuits

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

Research output: Contribution to journalArticlepeer-review

163 Scopus citations


This paper reviews some recent progress in the field of neuromorphic photonics, with a particular focus on scalability. We provide a framework for understanding the underlying models, and demonstrate a neuron-like processing device - an excitable laser - that has many favorable properties for integration with emerging photonic integrated circuit platforms. On a systems level, we compare several proposed interconnection frameworks that allow for fully tunable networks of photonic neurons.

Original languageEnglish (US)
Article number8364605
JournalIEEE Journal of Selected Topics in Quantum Electronics
Issue number6
StatePublished - Nov 1 2018

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering


  • Bifurcation
  • excitability
  • multiple-accumulate (MAC)
  • neural networks
  • neuromorphic computing
  • neuromorphic photonics
  • optoelectronics
  • photonic integrated circuits (PICs)
  • recurrent network
  • semiconductor lasers
  • spiking neural networks (SNNs)
  • wavelength-divison multiplexing (WDM)


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