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

Hejda, M. et al. (2022) Artificial optoelectronic spiking neuron based on a resonant tunnelling diode coupled to a vertical cavity surface emitting laser. Nanophotonics, (doi: 10.1515/nanoph-2022-0362) (Early Online Publication)

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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.

Item Type:Articles
Additional Information: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).
Status:Early Online Publication
Glasgow Author(s) Enlighten ID:Wasige, Professor Edward and Al-Taai, Dr Qusay and ZHANG, WEIKANG and Javaloyes, Dr Julien
Authors: Hejda, M., Malysheva, E., Owen-Newns, D., Al-Taai, Q. R. A., Zhang, W., Ortega-Piwonka, I., Javaloyes, J., Wasige, E., Dolores-Calzadilla, V., Figueiredo, J. M. L., Romeira, B., and Hurtado, A.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Journal Name:Nanophotonics
Publisher:De Gruyter
ISSN (Online):2192-8614
Published Online:15 November 2022
Copyright Holders:Copyright © 2022 The Authors
First Published:First published in Nanophotonics 2022
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
303977ChipAIEdward WasigeEuropean Commission (EC)828841ENG - Electronics & Nanoscale Engineering