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Research Article | Open Access | Just Accepted

Tetrachromatic-inspired neuromorphic optoelectronic sensor based on Ga2O3/TiO2/Ti3C2Tx heterostructures for dual-band dynamic motion perception

Lingxin Meng, Jingsong Yuan, Shuo Yang, Lin Yang ( ), Jiangang Ma ( ), Ye Tao, Xiaoning Zhao, Ya Lin( ), Zhongqiang Wang( )

State Ley Laboratory of Integrated Optoelectronics, Key Laboratory for UV Light-Emitting Materials and Technology of Ministry of Education, School of Physics, Northeast Normal University, 5268 Renmin Street, Changchun, China

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Abstract

Traditional image sensors face inherent trade-offs among accuracy, power consumption, and hardware complexity in dynamic recognition tasks. Drawing inspiration from the tetrachromatic vision of reindeer, we report a Ga2O3/TiO2/Ti3C2Tx neuromorphic optoelectronic sensor. The defect-rich TiO2 interlayer, formed via native oxidation of 2D Ti3C2Tx MXene, constructs a Type-II heterojunction with Ga2O3, dramatically boosting photogenerated carrier separation. The device exhibits multi-level photoresponses across four wavelengths (254-638 nm) and faithfully emulates key synaptic behaviors, including excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF) and spike-rate-dependent plasticity (SRDP). Based on a 20 × 20 array, we develop a dual-band (UV-visible) hybrid motion-perception system. Capitalizing on the pronounced conductance plasticity, this system effectively encodes spatial and temporal optical information. When coupled with a convolutional neural network, it achieves a remarkable 95.7% accuracy in recognizing complex trajectories, significantly outperforming conventional architectures. This work provides a versatile materials platform for broadband neuromorphic photodetection and paves the way for high-precision machine vision in complex environments.

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Cite this article:
Meng L, Yuan J, Yang S, et al. Tetrachromatic-inspired neuromorphic optoelectronic sensor based on Ga2O3/TiO2/Ti3C2Tx heterostructures for dual-band dynamic motion perception. Nano Research, 2026, https://doi.org/10.26599/NR.2026.94909170
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Received: 31 July 2026
Revised: 02 September 2026
Accepted: 03 September 2026
Available online: 03 September 2026

© The Author(s) 2026. Published by Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/)