Bioinspired TeSeO/InZnO Optoelectronic Synapse for Broadband UV–Visible–NIR Sensing and Multifunctional Reservoir Computing

Neuromorphic visual systems, integrating broadband optical perception, memory, and computation, offer a promising pathway toward next-generation intelligent sensing and brain-inspired computing. Here, we report a TeSeO/InZnO heterojunction optoelectronic synaptic transistor that leverages a narrow-bandgap/wide-bandgap coupling strategy to achieve broadband photoresponse spanning from UV to NIR (360-1550 nm). Under UV-visible-NIR illumination, the device exhibits tunable synaptic functionalities, including excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), and controllable memory transition processes. Moreover, the reservoir computing framework constructed on this device demonstrates a rich dynamic state space, achieving up to 93% accuracy in colored object recognition tasks. Furthermore, it effectively solves second-order nonlinear dynamical equations with a minimal normalized root-mean-square error of 4.19 × 10<sup>-4</sup>. This work establishes a material and device foundation for broadband neuromorphic visual perception and high-dimensional dynamic computing.

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Publication Details

Journal
Nano Letters
Published
2026-01-16
DOI
https://doi.org/10.1021/acs.nanolett.5c05934
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
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article

Bioinspired TeSeO/InZnO Optoelectronic Synapse for Broadband UV–Visible–NIR Sensing and Multifunctional Reservoir Computing

L. -Y. Zhu, Changjin Wan, Shancheng Yan, Gang He et al.
Nano Letters
Neural Networks and Reservoir Computing
article

Bioinspired TeSeO/InZnO Optoelectronic Synapse for Broadband UV–Visible–NIR Sensing and Multifunctional Reservoir Computing

L. -Y. Zhu, Changjin Wan, Shancheng Yan, Gang He, Huabin Sun, Yong Xu, Xiang Wan, Zhihao Yu, Feng Zhang, Chee Leong Tan, Pengyu Chen
article en

Abstract

Neuromorphic visual systems, integrating broadband optical perception, memory, and computation, offer a promising pathway toward next-generation intelligent sensing and brain-inspired computing. Here, we report a TeSeO/InZnO heterojunction optoelectronic synaptic transistor that leverages a narrow-bandgap/wide-bandgap coupling strategy to achieve broadband photoresponse spanning from UV to NIR (360-1550 nm). Under UV-visible-NIR illumination, the device exhibits tunable synaptic functionalities, including excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), and controllable memory transition processes. Moreover, the reservoir computing framework constructed on this device demonstrates a rich dynamic state space, achieving up to 93% accuracy in colored object recognition tasks. Furthermore, it effectively solves second-order nonlinear dynamical equations with a minimal normalized root-mean-square error of 4.19 × 10<sup>-4</sup>. This work establishes a material and device foundation for broadband neuromorphic visual perception and high-dimensional dynamic computing.

Nano LettersVol. 26(4)
Anhui University (CN), Bay Institute (US), Nanjing University of Posts and Telecommunications (CN), Guangdong Greater Bay Area Institute of Integrated Circuit and System, Nanjing University (CN)
Openalex Percentile: Top 87%
Neural Networks and Reservoir Computing
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