Artificial optoelectronic spiking neuron based on a resonant tunnelling diode coupled to a vertical cavity surface emitting laser

  • Matěj Hejda (Corresponding author)
  • , Ekaterina Malysheva
  • , Dafydd Owen-Newns
  • , Qusay Raghib Ali Al-Taai
  • , Weikang Zhang
  • , Ignacio Ortega-Piwonka
  • , Julien Javaloyes
  • , Edward Wasige
  • , Victor Dolores-Calzadilla
  • , José M.L. Figueiredo
  • , Bruno Romeira
  • , Antonio Hurtado

Research output: Contribution to journalArticleAcademicpeer-review

17 Citations (Scopus)
44 Downloads (Pure)

Abstract

Excitable optoelectronic devices represent one of the key building blocks for implementation of artificial spiking neurons in neuromorphic (brain-inspired) photonic systems. This work introduces and experimentally investigates an opto-electro-optical (O/E/O) artificial neuron built with a resonant tunnelling diode (RTD) coupled to a photodetector as a receiver and a vertical cavity surface emitting laser as a transmitter. We demonstrate a well-defined excitability threshold, above which the neuron produces optical spiking responses with characteristic neural-like refractory period. We utilise its fan-in capability to perform in-device coincidence detection (logical AND) and exclusive logical OR (XOR) tasks. These results provide first experimental validation of deterministic triggering and tasks in an RTD-based spiking optoelectronic neuron with both input and output optical (I/O) terminals. Furthermore, we also investigate in simulation the prospects of the proposed system for nanophotonic implementation in a monolithic design combining a nanoscale RTD element and a nanolaser; therefore demonstrating the potential of integrated RTD-based excitable nodes for low footprint, high-speed optoelectronic spiking neurons in future neuromorphic photonic hardware.

Original languageEnglish
Pages (from-to)857-867
Number of pages11
JournalNanophotonics
Volume12
Issue number5
DOIs
Publication statusPublished - 1 Mar 2023

Funding

Research funding: The authors acknowledge support by the European Commission (Grant 828841-ChipAI-H2020-FETOPEN-2018-2020) and by the UK Research and Innovation (UKRI) Turing AI Acceleration Fellowships Programme (EP/V025198/1).

Keywords

  • neuromorphic photonics
  • optical computing
  • photonic neuron
  • RTD
  • spiking
  • VCSEL

Cite this