Spiking behaviour in laterally-coupled pairs of VCSELs with applications in neuromorphic photonics

Matĕj Hejda, Martin Vaughan, Ian Henning, Rihab Al-Seyab, Antonio Hurtado, Mike Adams

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
44 Downloads (Pure)

Abstract

We report a theoretical study on laterally-coupled pairs of vertical-cavity surface-emitting lasers (VCSELs) operated under conditions that generate or suppress high-speed optical spiking regimes, and show their potential in exemplar functionalities for use in photonic neuromorphic computing systems. The VCSEL numerical analysis is based on a system of five coupled mode equations, which, for the case of weak coupling, are reduced to a set of three equations that predict the saddle-node stability boundary in terms of device parameters and operating conditions. These results guide numerical simulation to demonstrate multiple neuron-like dynamics, including single- and multiple-spike emission, spiking inhibition, and rebound spiking directly in the optical domain. Importantly, these behaviours are obtained at sub-nanosecond rates, hence multiple orders of magnitude faster than the millisecond timescales of biological neurons. The mechanisms responsible are explained by reference to appropriate phase portraits. The coupled VCSELs model is then used for demonstration of high-speed, all-optical digital-to-spiking encoding and for representation of digital image data using rate-coded spike trains.
Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalIEEE Journal of Selected Topics in Quantum Electronics
Volume29
Issue number2
Early online date2 Dec 2022
DOIs
Publication statusPublished - 30 Apr 2023

Keywords

  • vertical cavity surface emitting lasers (VCSELs)
  • VCSEL
  • laterally-coupled lasers
  • neuromorphic photonics
  • spiking laser neutron

Fingerprint

Dive into the research topics of 'Spiking behaviour in laterally-coupled pairs of VCSELs with applications in neuromorphic photonics'. Together they form a unique fingerprint.

Cite this