Nanophotonics (Nov 2022)

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

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

DOI
https://doi.org/10.1515/nanoph-2022-0362
Journal volume & issue
Vol. 12, no. 5
pp. 857 – 867

Abstract

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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.

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