All-optical bidirectional synaptic plasticity based on an IGZO voltage-divider architecture for neuromorphic visual perception

In the biological visual retina, the ON/OFF pathways formed by photoreceptors and bipolar cells can exploit incident light stimuli to generate excitatory and inhibitory signals in parallel, enabling integrated perception and preprocessing. Consequently, realizing optoelectronic synapses with bidirectional plasticity and nonvolatile characteristics under purely optical control remains a significant challenge. In this Letter, we propose a voltage-divider circuit architecture based on indium gallium zinc oxide (IGZO) optoelectronic synapses, which, in combination with the persistent photoconductivity effect in oxide semiconductors, enables bidirectional and nonvolatile all-optical weight modulation. Essential biological synaptic functions are successfully emulated, including excitatory/inhibitory postsynaptic potentials, paired-pulse facilitation and depression, as well as long-term potentiation and depression. Leveraging this all-optically modulated IGZO synaptic circuit, an artificial neural network is constructed for image classification tasks, achieving recognition accuracies of 88% and 98% on the Fashion-MNIST and MNIST datasets, respectively. This work provides a robust strategy for developing energy-efficient and biologically realistic visual perception systems.

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Publication Details

Journal
Applied Physics Letters
Published
2026-04-27
DOI
https://doi.org/10.1063/5.0333379
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

All-optical bidirectional synaptic plasticity based on an IGZO voltage-divider architecture for neuromorphic visual perception

Changjin Wan, Li Zhu, Zian Qian, Jiuhao Cai et al.
Applied Physics Letters
Advanced Memory and Neural Computing
article

All-optical bidirectional synaptic plasticity based on an IGZO voltage-divider architecture for neuromorphic visual perception

Changjin Wan, Li Zhu, Zian Qian, Jiuhao Cai, Qianxue Hu, Xiang Wan, Zhihao Yu
article en

Abstract

In the biological visual retina, the ON/OFF pathways formed by photoreceptors and bipolar cells can exploit incident light stimuli to generate excitatory and inhibitory signals in parallel, enabling integrated perception and preprocessing. Consequently, realizing optoelectronic synapses with bidirectional plasticity and nonvolatile characteristics under purely optical control remains a significant challenge. In this Letter, we propose a voltage-divider circuit architecture based on indium gallium zinc oxide (IGZO) optoelectronic synapses, which, in combination with the persistent photoconductivity effect in oxide semiconductors, enables bidirectional and nonvolatile all-optical weight modulation. Essential biological synaptic functions are successfully emulated, including excitatory/inhibitory postsynaptic potentials, paired-pulse facilitation and depression, as well as long-term potentiation and depression. Leveraging this all-optically modulated IGZO synaptic circuit, an artificial neural network is constructed for image classification tasks, achieving recognition accuracies of 88% and 98% on the Fashion-MNIST and MNIST datasets, respectively. This work provides a robust strategy for developing energy-efficient and biologically realistic visual perception systems.

Applied Physics LettersVol. 128(17)
Nanjing University of Information Science and Technology (CN), Nanjing University of Science and Technology (CN), Nanjing University of Posts and Telecommunications (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 10%
Advanced Memory and Neural Computing
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