神经形态工程学
突触
级联
计算机科学
材料科学
神经科学
人工神经网络
突触可塑性
人工智能
离子键合
转导(生物物理学)
信号(编程语言)
神经工程
纳米技术
离子通道
生物系统
离子液体
神经元
生物电子学
突触裂
作者
Haitao Zhang,Yueqi Xiang,Xiangyu Zhang,Lei Zhang,Qiqi Xue,Xinyi Zhu,Wenbo Chang,Tianhao Li,Xiong Yu,Canhui Yang,Yuanjing Lin,Mingming Zhang,Ruibing Wang,Kai Xiao
标识
DOI:10.1002/adma.202521464
摘要
Biological intelligence operates through chemo-ionic signal processing, where neurotransmitters encode information as spatiotemporal chemical gradients that regulate ionic dynamics across neural synapses. Given the diversity of chemical neurotransmitters and ion species, developing an artificial chemo-ionic cascade synapse that can translate biochemical signals into tunable synaptic weights will be of great significance for brain-inspired computing and brain-computer interfaces. Here, we present an artificial dopamine (DA)-ionic cascade synapse by integrating a sensitive DA sensor with an ionic elastomer-based neuromorphic device. The oxidation of DA generates localized electric fields that electrostatically modulate ion migration within the ionic elastomer device, enabling chemical-to-ionic signal transduction and dynamic plasticity control. Consequently, biochemical cues like DA concentration can be directly reflected in tunable ionic synaptic weights, which can then be used to control a robotic platform for recognition tasks. This artificial synapse exhibits biochemical signal-driven behavioral selectivity in an object-grasping task, completing a perception-decision-execution loop. This work establishes a framework for processing biochemical information via native ionic dynamics, paving the way for chemically neuromorphic systems and embodied human-machine interaction.
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