Light-induced negative differential resistance and neural oscillations in neuromorphic photonic semiconductor micropillar sensory neurons

Abstract Neuromorphic systems, inspired by nature, are sought to efficiently process analogue inputs in real and complex environments. This could lead to ultralow-power in-sensor intelligent edge computers. Here, we present an artificial sensory oscillator neuron consisting of a III–V semiconductor...

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Main Authors: Bejoys Jacob, Juan Silva, José M. L. Figueiredo, Jana B. Nieder, Bruno Romeira
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-90265-z
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author Bejoys Jacob
Juan Silva
José M. L. Figueiredo
Jana B. Nieder
Bruno Romeira
author_facet Bejoys Jacob
Juan Silva
José M. L. Figueiredo
Jana B. Nieder
Bruno Romeira
author_sort Bejoys Jacob
collection DOAJ
description Abstract Neuromorphic systems, inspired by nature, are sought to efficiently process analogue inputs in real and complex environments. This could lead to ultralow-power in-sensor intelligent edge computers. Here, we present an artificial sensory oscillator neuron consisting of a III–V semiconductor micropillar quantum resonant tunnelling diode (RTD) with GaAs photosensitive absorption layers. The oscillatory optical neuron encodes incoming analogue optical data into spatiotemporal oscillatory signals. We demonstrate that near-infrared light within a certain intensity range activates a region of negative differential resistance, and subsequently, large-amplitude voltage oscillations. As a result, optic analogue information is encoded into electrical oscillations resulting in amplification of sensory light inputs. Under pulse-modulated light, excitation and inhibition of burst firing patterns can be controlled within a single oscillatory neuron, simulating neural activity in networks in the form of breather-type oscillatory phenomena. Such spatiotemporal oscillatory patterns (burst firing) form the basis for the combined sensing, pre-processing, and encoding abilities of the vision-nervous system found in biological organisms. This work paves the way for future artificial visual systems using III–V semiconductor nano-optoelectronic circuits in applications for light-driven neurorobotics, bioinspired optoelectronics, and in-sensor neuromorphic computing systems for real-time processing of sensory data.
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spelling doaj-art-da732bcdc51e47f3937d817bc778aaa72025-08-20T02:01:35ZengNature PortfolioScientific Reports2045-23222025-02-0115111310.1038/s41598-025-90265-zLight-induced negative differential resistance and neural oscillations in neuromorphic photonic semiconductor micropillar sensory neuronsBejoys Jacob0Juan Silva1José M. L. Figueiredo2Jana B. Nieder3Bruno Romeira4INL—International Iberian Nanotechnology LaboratoryINL—International Iberian Nanotechnology LaboratoryLIP - Laboratório de Instrumentação e Física Experimental de Partículas, Departamento de Física, Faculdade de Ciências, Universidade de LisboaINL—International Iberian Nanotechnology LaboratoryINL—International Iberian Nanotechnology LaboratoryAbstract Neuromorphic systems, inspired by nature, are sought to efficiently process analogue inputs in real and complex environments. This could lead to ultralow-power in-sensor intelligent edge computers. Here, we present an artificial sensory oscillator neuron consisting of a III–V semiconductor micropillar quantum resonant tunnelling diode (RTD) with GaAs photosensitive absorption layers. The oscillatory optical neuron encodes incoming analogue optical data into spatiotemporal oscillatory signals. We demonstrate that near-infrared light within a certain intensity range activates a region of negative differential resistance, and subsequently, large-amplitude voltage oscillations. As a result, optic analogue information is encoded into electrical oscillations resulting in amplification of sensory light inputs. Under pulse-modulated light, excitation and inhibition of burst firing patterns can be controlled within a single oscillatory neuron, simulating neural activity in networks in the form of breather-type oscillatory phenomena. Such spatiotemporal oscillatory patterns (burst firing) form the basis for the combined sensing, pre-processing, and encoding abilities of the vision-nervous system found in biological organisms. This work paves the way for future artificial visual systems using III–V semiconductor nano-optoelectronic circuits in applications for light-driven neurorobotics, bioinspired optoelectronics, and in-sensor neuromorphic computing systems for real-time processing of sensory data.https://doi.org/10.1038/s41598-025-90265-z
spellingShingle Bejoys Jacob
Juan Silva
José M. L. Figueiredo
Jana B. Nieder
Bruno Romeira
Light-induced negative differential resistance and neural oscillations in neuromorphic photonic semiconductor micropillar sensory neurons
Scientific Reports
title Light-induced negative differential resistance and neural oscillations in neuromorphic photonic semiconductor micropillar sensory neurons
title_full Light-induced negative differential resistance and neural oscillations in neuromorphic photonic semiconductor micropillar sensory neurons
title_fullStr Light-induced negative differential resistance and neural oscillations in neuromorphic photonic semiconductor micropillar sensory neurons
title_full_unstemmed Light-induced negative differential resistance and neural oscillations in neuromorphic photonic semiconductor micropillar sensory neurons
title_short Light-induced negative differential resistance and neural oscillations in neuromorphic photonic semiconductor micropillar sensory neurons
title_sort light induced negative differential resistance and neural oscillations in neuromorphic photonic semiconductor micropillar sensory neurons
url https://doi.org/10.1038/s41598-025-90265-z
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