Bio-Inspired Optical Synapse Based on MoS <sub>2</sub> for Neuromorphic Computing

The traditional von Neumann machine vision system has hindered the development of data-intensive technologies. Therefore, neuromorphic architectures that integrate perception, memory and processing have attracted much attention. Here, we fabricate an ITO/ZnO/MoS<sub>2</sub>/ITO/p-Si optical synaptic device for detecting and processing optical signals. It exhibits wavelength-dependent responses in the visible range (405-650 nm) and successfully emulates short-term/long-term plasticity, learning-forgetting-relearning, and associative learning by tuning optical pulses. Further, according to the wavelength selection and memory characteristics of the device, the 3 × 5 pixel unit is constructed to achieve color extraction and perception functions. More importantly, an optical reservoir computing system is constructed by utilizing the nonlinear optical response and attenuation characteristics of the device. It still maintained a high accuracy rate of 90.91% in face recognition tasks with up to 48% noise interference. These results provide a highly promising solution for the development of a neuromorphic vision system that integrates sensory storage and computation.

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Publication Details

Journal
Nano Letters
Published
2025-11-07
DOI
https://doi.org/10.1021/acs.nanolett.5c04461
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
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article

Bio-Inspired Optical Synapse Based on MoS 2 for Neuromorphic Computing

Xu Shan, Wenqing Yang, Xiaobing Yan, Zhiyuan Guan et al.
Nano Letters
Neural Networks and Reservoir Computing
article

Bio-Inspired Optical Synapse Based on MoS 2 for Neuromorphic Computing

Xu Shan, Wenqing Yang, Xiaobing Yan, Zhiyuan Guan, Gongjie Liu, Yuchen Li, Zixuan Zhang, Lulu Wang, Xiaoxu Li, Zhenyu Zhou, Zhe Xue
article en

Abstract

The traditional von Neumann machine vision system has hindered the development of data-intensive technologies. Therefore, neuromorphic architectures that integrate perception, memory and processing have attracted much attention. Here, we fabricate an ITO/ZnO/MoS<sub>2</sub>/ITO/p-Si optical synaptic device for detecting and processing optical signals. It exhibits wavelength-dependent responses in the visible range (405-650 nm) and successfully emulates short-term/long-term plasticity, learning-forgetting-relearning, and associative learning by tuning optical pulses. Further, according to the wavelength selection and memory characteristics of the device, the 3 × 5 pixel unit is constructed to achieve color extraction and perception functions. More importantly, an optical reservoir computing system is constructed by utilizing the nonlinear optical response and attenuation characteristics of the device. It still maintained a high accuracy rate of 90.91% in face recognition tasks with up to 48% noise interference. These results provide a highly promising solution for the development of a neuromorphic vision system that integrates sensory storage and computation.

Nano LettersVol. 25(46)
Xiamen University (CN), Hebei University (CN)
Openalex Percentile: Top 82%
Neural Networks and Reservoir Computing
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Bio-Inspired Optical Synapse Based on MoS <sub>2</sub> for Neuromorphic Computing — Xu Shan, Wenqing Yang, et al. · Nano Letters (2025) | TGRS Research Map | TGRS