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Bioinspired Bimodal Artificial Afferent Nerve Based on AgBiS2 QD/IGZO Heterojunction Optoelectronic Synaptic Transistor for Visuo-Tactile Fusion Perception

Journal 2026 · IF 19.9 · 发表于 2026 年 8 月 21 日
作者: Chengyao Yang,Ruchao Gong,Zihan Wang,Lanyu Nie,Jialin Yao,Zhicheng Wang,Yong Dai,Huafei Guo,Sai Jiang,Jinrong Huang,Qixuan Zhong,Sheng Li
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摘要

Reliable perception in complex and dynamically degraded environments remains a central challenge for both biological nervous systems and next-generation embodied intelligent systems. Biological organisms mitigate uncertainty via complementary bimodal perception, where various sensory modalities jointly sustain adaptive behaviors. Inspired by the star-nosed mole, we report an artificial visuo-tactile afferent nerve based on an AgBiS 2 quantum dot (QD)/IGZO heterojunction optoelectronic synaptic transistor. The artificial nerve supports sensory acquisition, neural-like signal encoding, synaptic modulation, and adaptive actuation within a unified neuromorphic framework. Benefiting from interfacial carrier separation and persistent photoinduced charge dynamics, this synaptic transistor exhibits reconfigurable synaptic plasticity with intrinsically coupled bimodal synaptic modulation. External visuo-tactile stimuli are first transformed into unified neuromorphic responses and subsequently mapped to threshold-governed robotic behaviors, including directional motion, turning, and grasping. Device-informed results demonstrate that device-enabled bimodal cooperation enhances recognition robustness under degraded perceptual conditions. This work establishes a compact, physically grounded framework integrating bimodal perception and adaptive intelligence, with potential implications for next-generation bioinspired neuromorphic systems.

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