神经形态纳米流体感知数字化

IF 16.1 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Zu-Ming Duan, Yi-Tong Xu, Zheng Li, Jian-Xiang Pang, Jing-Juan Xu, Wei-Wei Zhao
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引用次数: 0

摘要

最近,纳米流体忆阻器被重新塑造成能够模仿许多基本神经突触模式的人工突触,而感知数字化也被越来越多地用于将神经形态设备与外部设备连接起来。受多巴胺能神经的启发,本文设计了一种具有感知数字化功能的纳米流体神经,由PC-12细胞介导的多巴胺(DA)特异性纳米流体突触来管理机械臂。与以往通过氧化还原反应实现的神经形态对多巴胺的感知不同,这里基于适配体的感知是通过离子信号指示其受体对多巴胺的生物识别。在此基础上,利用 DA 感知的数字表示来控制机械臂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neuromorphic Nanofluidic Sense Digitalization
Nanofluidic memristors have recently been reshaped into artificial synapses capable of mimicking many fundamental neurosynaptic patterns, while sense digitalization has been increasingly explored to link the neuromorphic devices with external equipment. By inspiration of dopaminergic nerve, here a nanofluidic nerve with sense digitalization is devised by engineering a dopamine (DA)-specific nanofluidic synapse as mediated by PC-12 cells to manage the robotic arm. Different from previous neuromorphic perception of DA via redox reaction, the aptamer-based perception here is based on biological DA recognition by its receptor as indicated by the ionic signals. Various neurosynaptic patterns are emulated with DA-dependent plasticity, based on which the digital representation of DA perception is used to control the robotic arm.
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来源期刊
CiteScore
26.60
自引率
6.60%
发文量
3549
审稿时长
1.5 months
期刊介绍: Angewandte Chemie, a journal of the German Chemical Society (GDCh), maintains a leading position among scholarly journals in general chemistry with an impressive Impact Factor of 16.6 (2022 Journal Citation Reports, Clarivate, 2023). Published weekly in a reader-friendly format, it features new articles almost every day. Established in 1887, Angewandte Chemie is a prominent chemistry journal, offering a dynamic blend of Review-type articles, Highlights, Communications, and Research Articles on a weekly basis, making it unique in the field.
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