神经形态工程学
多路复用
可穿戴计算机
数码产品
传输(电信)
神经科学
计算机科学
机器人学
信息处理
软机器人
材料科学
机器人
电信
工程类
电气工程
嵌入式系统
人工神经网络
人工智能
生物
作者
Long Chen,Ming Ren,Jianxian Zhou,Xuhui Zhou,Fan Liu,Jiangtao Di,Pan Xue,Chunsheng Li,Qingwen Li,Yang Li,Lei Wei,Qichong Zhang
标识
DOI:10.1073/pnas.2407971121
摘要
Artificial neuromorphic devices can emulate dendric integration, axonal parallel transmission, along with superior energy efficiency in facilitating efficient information processing, offering enormous potential for wearable electronics. However, integrating such circuits into textiles to achieve biomimetic information perception, processing, and control motion feedback remains a formidable challenge. Here, we engineer a quasi-solid-state iontronic synapse fiber (ISF) comprising photoresponsive TiO 2 , ion storage Co-MoS 2 , and an ion transport layer. The resulting ISF achieves inherent short-term synaptic plasticity, femtojoule-range energy consumption, and the ability to transduce chemical/optical signals. Multiple ISFs are interwoven into a synthetic neural fabric, allowing the simultaneous propagation of distinct optical signals for transmitting parallel information. Importantly, IFSs with multiple input electrodes exhibit spatiotemporal information integration. As a proof of concept, a textile-based multiplexing neuromorphic sensorimotor system is constructed to connect synaptic fibers with artificial fiber muscles, enabling preneuronal sensing information integration, parallel transmission, and postneuronal information output to control the coordinated motor of fiber muscles. The proposed fiber system holds enormous promise in wearable electronics, soft robotics, and biomedical engineering.
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