Bioinspired iontronic synapse fibers for ultralow- power multiplexing neuromorphic sensorimotor textiles

• 成果类型: Article
• 署名作者: Chen, Long; Ren, Ming; Zhou, Jianxian; Zhou, Xuhui; Liu, Fan; Di, Jiangtao; Xue, Pan; Li, Chunsheng; Li, Qingwen; Li, Yang; Wei, Lei; Zhang, Qichong
• 署名单位: Chinese Academy of Sciences; Suzhou Institute of Nano-Tech & Nano-Bionics, CAS; Nanyang Technological University; Yangzhou University; Suzhou University of Science & Technology; Shandong University
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-13917
• DOI: 10.1073/pnas.2407971121/-/DCSupplemental
• 发表日期: 2024-08-13
• 关键词: short-term plasticity; low-voltage; memory

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 TiO2, ion storage Co-MoS2, 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.