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

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Authors: Li Zhu, Feng Zhang, Pengyu Chen, Xiang Wan, Chee Leong Tan, Huabin Sun, Yong Xu, Shancheng Yan, Gang He, Changjin Wan, Zhihao Yu
Cited by: 8
References: 65

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 –4 . This work establishes a material and device foundation for broadband neuromorphic visual perception and high-dimensional dynamic computing.

Fields of Study & Subjects

Neural Networks and Reservoir Computing Advanced Memory and Neural Computing Ferroelectric and Negative Capacitance Devices

Publication details

Journal / source
Nano Letters
Publisher
American Chemical Society (ACS)
Volume
26
Issue
4
Pages
1499–1507
Publication date
16 January 2026
Language
EN