Photonic-electronic spiking neuron with multi-modal and multi-wavelength excitatory and inhibitory operation for high-speed neuromorphic sensing and computing
We report a multi-modal spiking neuron that allows optical and electronic input and control, and wavelength-multiplexing operation, for use in novel high-speed neuromorphic sensing and computing functionalities. The photonic-electronic neuron is built with a micro-scale, nanostructure resonant tunne...
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2024-01-01
|
| Series: | Neuromorphic Computing and Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2634-4386/ad8df8 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846156169494659072 |
|---|---|
| author | Weikang Zhang Matěj Hejda Qusay Raghib Ali Al-Taai Dafydd Owen-Newns Bruno Romeira José M L Figueiredo Joshua Robertson Edward Wasige Antonio Hurtado |
| author_facet | Weikang Zhang Matěj Hejda Qusay Raghib Ali Al-Taai Dafydd Owen-Newns Bruno Romeira José M L Figueiredo Joshua Robertson Edward Wasige Antonio Hurtado |
| author_sort | Weikang Zhang |
| collection | DOAJ |
| description | We report a multi-modal spiking neuron that allows optical and electronic input and control, and wavelength-multiplexing operation, for use in novel high-speed neuromorphic sensing and computing functionalities. The photonic-electronic neuron is built with a micro-scale, nanostructure resonant tunnelling diode (RTD) with photodetection (PD) capability. Leveraging the advantageous intrinsic properties of this RTD-PD system, namely highly nonlinear characteristics, photo-sensitivity, light-induced I – V curve shift, and the ability to deliver excitable responses under electrical and optical inputs, we successfully achieve flexible neuromorphic spike activation and inhibition regimes through photonic-electrical control. We also demonstrate the ability of this RTD-PD spiking sensing-processing neuron to operate under the simultaneous arrival of multiple wavelength-multiplexed optical signals, due to its large PD spectral window (covering the 1310 and 1550 nm telecom wavelength bands). Our results highlight the potential of RTD photonic-electronic neurons to reproduce multiple key excitatory and inhibitory spiking regimes, at high speed (10 s of ns-rate spiking responses, with faster sub-ns regimes theoretically predicted) and low energy (requiring only ∼10 mV and ∼150 µ W, electrical and optical input amplitudes, respectively), similar in nature to those commonly found in the biological neurons of the visual system and the brain. This work offers a highly promising approach for the realisation of high-speed, energy-efficient photonic-electronic spiking neurons and spiking neural networks, enabling multi-modal and multi-wavelength operation for sensing and information processing tasks, whilst also yielding enhanced system capacity, performance and parallelism. This work therefore paves the way for innovative high-speed, photonic-electronic, and spike-based neuromorphic sensing and computing systems and artificial intelligence hardware. |
| format | Article |
| id | doaj-art-4f126e41e01042a8a6af12fd1d3c7ad4 |
| institution | Kabale University |
| issn | 2634-4386 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Neuromorphic Computing and Engineering |
| spelling | doaj-art-4f126e41e01042a8a6af12fd1d3c7ad42024-11-26T10:36:58ZengIOP PublishingNeuromorphic Computing and Engineering2634-43862024-01-014404400610.1088/2634-4386/ad8df8Photonic-electronic spiking neuron with multi-modal and multi-wavelength excitatory and inhibitory operation for high-speed neuromorphic sensing and computingWeikang Zhang0Matěj Hejda1https://orcid.org/0000-0003-4493-9426Qusay Raghib Ali Al-Taai2https://orcid.org/0000-0001-5741-0527Dafydd Owen-Newns3Bruno Romeira4https://orcid.org/0000-0002-1485-6665José M L Figueiredo5https://orcid.org/0000-0001-5668-7073Joshua Robertson6https://orcid.org/0000-0001-6316-5265Edward Wasige7Antonio Hurtado8Institute of Photonics, SUPA Department of Physics, University of Strathclyde , Glasgow, United KingdomInstitute of Photonics, SUPA Department of Physics, University of Strathclyde , Glasgow, United KingdomHigh Frequency Electronics Group, University of Glasgow , Glasgow, United KingdomInstitute of Photonics, SUPA Department of Physics, University of Strathclyde , Glasgow, United KingdomInternational Iberian Nanotechnology Lab., Ultrafast Bio- and Nanophotonics Group , Braga, PortugalCentra-Ciências and Department de Física, Faculdade de Ciências, Universidade de Lisboa , Lisboa, PortugalInstitute of Photonics, SUPA Department of Physics, University of Strathclyde , Glasgow, United KingdomHigh Frequency Electronics Group, University of Glasgow , Glasgow, United KingdomInstitute of Photonics, SUPA Department of Physics, University of Strathclyde , Glasgow, United KingdomWe report a multi-modal spiking neuron that allows optical and electronic input and control, and wavelength-multiplexing operation, for use in novel high-speed neuromorphic sensing and computing functionalities. The photonic-electronic neuron is built with a micro-scale, nanostructure resonant tunnelling diode (RTD) with photodetection (PD) capability. Leveraging the advantageous intrinsic properties of this RTD-PD system, namely highly nonlinear characteristics, photo-sensitivity, light-induced I – V curve shift, and the ability to deliver excitable responses under electrical and optical inputs, we successfully achieve flexible neuromorphic spike activation and inhibition regimes through photonic-electrical control. We also demonstrate the ability of this RTD-PD spiking sensing-processing neuron to operate under the simultaneous arrival of multiple wavelength-multiplexed optical signals, due to its large PD spectral window (covering the 1310 and 1550 nm telecom wavelength bands). Our results highlight the potential of RTD photonic-electronic neurons to reproduce multiple key excitatory and inhibitory spiking regimes, at high speed (10 s of ns-rate spiking responses, with faster sub-ns regimes theoretically predicted) and low energy (requiring only ∼10 mV and ∼150 µ W, electrical and optical input amplitudes, respectively), similar in nature to those commonly found in the biological neurons of the visual system and the brain. This work offers a highly promising approach for the realisation of high-speed, energy-efficient photonic-electronic spiking neurons and spiking neural networks, enabling multi-modal and multi-wavelength operation for sensing and information processing tasks, whilst also yielding enhanced system capacity, performance and parallelism. This work therefore paves the way for innovative high-speed, photonic-electronic, and spike-based neuromorphic sensing and computing systems and artificial intelligence hardware.https://doi.org/10.1088/2634-4386/ad8df8resonant tunnelling diode-photodiodeneuromorphic photonicsspiking neural networks |
| spellingShingle | Weikang Zhang Matěj Hejda Qusay Raghib Ali Al-Taai Dafydd Owen-Newns Bruno Romeira José M L Figueiredo Joshua Robertson Edward Wasige Antonio Hurtado Photonic-electronic spiking neuron with multi-modal and multi-wavelength excitatory and inhibitory operation for high-speed neuromorphic sensing and computing Neuromorphic Computing and Engineering resonant tunnelling diode-photodiode neuromorphic photonics spiking neural networks |
| title | Photonic-electronic spiking neuron with multi-modal and multi-wavelength excitatory and inhibitory operation for high-speed neuromorphic sensing and computing |
| title_full | Photonic-electronic spiking neuron with multi-modal and multi-wavelength excitatory and inhibitory operation for high-speed neuromorphic sensing and computing |
| title_fullStr | Photonic-electronic spiking neuron with multi-modal and multi-wavelength excitatory and inhibitory operation for high-speed neuromorphic sensing and computing |
| title_full_unstemmed | Photonic-electronic spiking neuron with multi-modal and multi-wavelength excitatory and inhibitory operation for high-speed neuromorphic sensing and computing |
| title_short | Photonic-electronic spiking neuron with multi-modal and multi-wavelength excitatory and inhibitory operation for high-speed neuromorphic sensing and computing |
| title_sort | photonic electronic spiking neuron with multi modal and multi wavelength excitatory and inhibitory operation for high speed neuromorphic sensing and computing |
| topic | resonant tunnelling diode-photodiode neuromorphic photonics spiking neural networks |
| url | https://doi.org/10.1088/2634-4386/ad8df8 |
| work_keys_str_mv | AT weikangzhang photonicelectronicspikingneuronwithmultimodalandmultiwavelengthexcitatoryandinhibitoryoperationforhighspeedneuromorphicsensingandcomputing AT matejhejda photonicelectronicspikingneuronwithmultimodalandmultiwavelengthexcitatoryandinhibitoryoperationforhighspeedneuromorphicsensingandcomputing AT qusayraghibalialtaai photonicelectronicspikingneuronwithmultimodalandmultiwavelengthexcitatoryandinhibitoryoperationforhighspeedneuromorphicsensingandcomputing AT dafyddowennewns photonicelectronicspikingneuronwithmultimodalandmultiwavelengthexcitatoryandinhibitoryoperationforhighspeedneuromorphicsensingandcomputing AT brunoromeira photonicelectronicspikingneuronwithmultimodalandmultiwavelengthexcitatoryandinhibitoryoperationforhighspeedneuromorphicsensingandcomputing AT josemlfigueiredo photonicelectronicspikingneuronwithmultimodalandmultiwavelengthexcitatoryandinhibitoryoperationforhighspeedneuromorphicsensingandcomputing AT joshuarobertson photonicelectronicspikingneuronwithmultimodalandmultiwavelengthexcitatoryandinhibitoryoperationforhighspeedneuromorphicsensingandcomputing AT edwardwasige photonicelectronicspikingneuronwithmultimodalandmultiwavelengthexcitatoryandinhibitoryoperationforhighspeedneuromorphicsensingandcomputing AT antoniohurtado photonicelectronicspikingneuronwithmultimodalandmultiwavelengthexcitatoryandinhibitoryoperationforhighspeedneuromorphicsensingandcomputing |