Resonate-and-fire photonic-electronic spiking neuron with a photo-detecting resonant tunnelling diode

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Adair, A. and Owen-Newns, D. and Robertson, J. and Figueiredo, J. and Wasige, E. and Romeira, B. and Hurtado, A.; (2025) Resonate-and-fire photonic-electronic spiking neuron with a photo-detecting resonant tunnelling diode. In: 2025 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC). 2025 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC) . IEEE, DEU. ISBN 979-8-3315-1252-1 (https://doi.org/10.1109/cleo/europe-eqec65582.2025...)

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Abstract

As the popularity of artificial intelligence (AI) continues to grow exponentially, so does the demand for efficient and fast (state-of-the-art) computing hardware. Neuromorphic (brain-inspired) systems, specifically in photonics, have the capability to improve processing for AI by leveraging the low operating powers and inherent high-speed of lasers and opto-electronic devices. Several different neuronal models exist for artificial neurons, and one opto-electronic device that has shown promise in realising spike-based neuronal functionality is the resonant tunnelling diode (RTD) [1]. Thresholding, refractoriness, and integration have been achieved with RTDs (optically and electrically), thanks to their non-linear properties. Further, opto-electronic networks and different processing tasks have been proposed in theory by coupling spiking RTDs to lasers and photodetectors [2].

ORCID iDs

Adair, A., Owen-Newns, D. ORCID logoORCID: https://orcid.org/0000-0001-6592-8465, Robertson, J., Figueiredo, J., Wasige, E., Romeira, B. and Hurtado, A. ORCID logoORCID: https://orcid.org/0000-0002-4448-9034;
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