Dual Stimuli‐Responsive a‐GaO <sub>x</sub> /ZnO Heterojunction Nanowire Arrays Artificial Optoelectronic Synapse for Mimicking Visual Nociceptor Plasticity

Abstract Retina‐inspired synaptic devices with in‐sensor visual perception‐memory‐processing have emerged as a powerful implementation for replicating visual functionalities and developing highly efficient neuromorphic computing. However, single synaptic devices manifest limitations in dual stimuli‐responsive characteristics, posing a challenge in high‐level integrating perception and response to more sensing inputs. Herein, a flexible optoelectronic synaptic device (FOSD) based on amorphous‐GaO x /ZnO heterojunction nanowire arrays is proposed and enables synchronously perceiving and encoding optical and mechanical signals into programmable synaptic plasticity. Moreover, the robust nonvolatile nature of the FOSD's synaptic behavior from low‐temperature 220 K to high‐temperature 380 K ensures visual perception‐learning‐memory functions. The distinguishable wide spectral photoresponse of FOSD to RGB tricolor lights allows for feature extraction of color‐mixed patterns for improving handwritten digit recognition accuracy up to 90.32%. The FOSD's highlighted strain‐sensitive synaptic plasticity utilizing optic–mechanic co‐stimuli scheme becomes a building block approach to mimic multi‐scenario adaptable synaptic activities. Biomimetic visual nociceptor based on dual stimuli‐responsive FOSD presents novel modulation of key features, encompassing threshold, sensitization, desensitization, and non‐adaptation, enabling the development of bio‐realistic nociceptive system. This work offers guidance for designing a dual‐sensing‐integration synaptic device and establishes an actionable framework for an artificial visual nociceptive system toward environmental adaptability.

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Publication Details

Journal
Laser & Photonics Review
Published
2025-09-18
DOI
https://doi.org/10.1002/lpor.202501727
Primary Topic
Advanced Memory and Neural Computing
Type
article
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article

Dual Stimuli‐Responsive a‐GaO x /ZnO Heterojunction Nanowire Arrays Artificial Optoelectronic Synapse for Mimicking Visual Nociceptor Plasticity

Zhenyu Fang, Haiwu Zheng, Hao Xu, Yaju Zhang et al.
Laser & Photonics Review
Advanced Memory and Neural Computing
article

Dual Stimuli‐Responsive a‐GaO x /ZnO Heterojunction Nanowire Arrays Artificial Optoelectronic Synapse for Mimicking Visual Nociceptor Plasticity

Zhenyu Fang, Haiwu Zheng, Hao Xu, Yaju Zhang, Chen Ge, Bei Liu, Mingzhen Zhang, Yikun Li, Qianqian Han, Wei Hou
article en

Abstract

Abstract Retina‐inspired synaptic devices with in‐sensor visual perception‐memory‐processing have emerged as a powerful implementation for replicating visual functionalities and developing highly efficient neuromorphic computing. However, single synaptic devices manifest limitations in dual stimuli‐responsive characteristics, posing a challenge in high‐level integrating perception and response to more sensing inputs. Herein, a flexible optoelectronic synaptic device (FOSD) based on amorphous‐GaO x /ZnO heterojunction nanowire arrays is proposed and enables synchronously perceiving and encoding optical and mechanical signals into programmable synaptic plasticity. Moreover, the robust nonvolatile nature of the FOSD's synaptic behavior from low‐temperature 220 K to high‐temperature 380 K ensures visual perception‐learning‐memory functions. The distinguishable wide spectral photoresponse of FOSD to RGB tricolor lights allows for feature extraction of color‐mixed patterns for improving handwritten digit recognition accuracy up to 90.32%. The FOSD's highlighted strain‐sensitive synaptic plasticity utilizing optic–mechanic co‐stimuli scheme becomes a building block approach to mimic multi‐scenario adaptable synaptic activities. Biomimetic visual nociceptor based on dual stimuli‐responsive FOSD presents novel modulation of key features, encompassing threshold, sensitization, desensitization, and non‐adaptation, enabling the development of bio‐realistic nociceptive system. This work offers guidance for designing a dual‐sensing‐integration synaptic device and establishes an actionable framework for an artificial visual nociceptive system toward environmental adaptability.

Laser & Photonics ReviewVol. 20(3)
Henan University (CN), Henan University of Technology (CN), FZU ‒ Institute of Physics of the Academy of Sciences of the Czech Republic (CZ), National Laboratory for Superconductivity (CN)
Openalex Percentile: Top 75%
Advanced Memory and Neural Computing
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