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Abstract
This work reports a nanostructure resonant tunnelling diode-photodetector (RTD-PD) device and demonstrates its operation as a controllable, optically-triggered excitable spike generator. The top contact layer of the device is designed with a nanopillar structure (500 nm in diameter) to restrain the injection current, yielding therefore lower energy operation for spike generation. We demonstrate experimentally the deterministic optical triggering of controllable and repeatable neuron-like spike patterns in the nanostructure RTD-PDs. Moreover, we show the device's ability to deliver spiking responses when biased in either of the two regions adjacent to the negative differential conductance region, the so-called 'peak' and 'valley' points of the current–voltage (I–V) characteristic. This work also demonstrates experimentally key neuron-like dynamical features in the nanostructure RTD-PD, such as a well-defined threshold (in input optical intensity) for spike firing, as well as the presence of spike firing refractory time. The optoelectronic and chip-scale character of the proposed system together with the deterministic, repeatable and well controllable nature of the optically-elicited spiking responses render this nanostructure RTD-PD element as a highly promising solution for high-speed, energy-efficient optoelectronic artificial spiking neurons for novel light-enabled neuromorphic computing hardware.
Original language | English |
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Article number | 034012 |
Number of pages | 10 |
Journal | Neuromorphic Computing and Engineering |
Volume | 3 |
Issue number | 3 |
Early online date | 1 Sept 2023 |
DOIs | |
Publication status | Published - 1 Sept 2023 |
Keywords
- photonic spiking neuron
- optoelectronic neuron
- excitability
- spiking
- neuromorphic photonics
- optical computing
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Turing AI Fellowship: PHOTONics for ultrafast Artificial Intelligence
Hurtado, A. (Fellow)
EPSRC (Engineering and Physical Sciences Research Council)
1/01/21 → 31/12/25
Project: Research Fellowship
Datasets
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Data for: "Optically-triggered deterministic spiking regimes in nanostructure resonant tunnelling diode-photodetectors"
Hejda, M. (Creator), Hurtado, A. (Creator), Zhang, W. (Creator) & Al-Taai, Q. R. A. (Creator), University of Strathclyde, 21 Aug 2023
DOI: 10.15129/8def9efd-a509-4d5b-aa4e-3abc345680cb
Dataset