Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/180383
Title: Bioinspired iontronic synapse fibers for ultralow-power multiplexing neuromorphic sensorimotor textiles
Authors: Chen, Long
Ren, Ming
Zhou, Jianxian
Zhou, Xuhui
Liu, Fan
Di, Jiangtao
Xue, Pan
Li, Chunsheng
Li, Qingwen
Li, Yang
Wei, Lei
Zhang, Qichong
Keywords: Engineering
Issue Date: 2024
Source: Chen, L., Ren, M., Zhou, J., Zhou, X., Liu, F., Di, J., Xue, P., Li, C., Li, Q., Li, Y., Wei, L. & Zhang, Q. (2024). Bioinspired iontronic synapse fibers for ultralow-power multiplexing neuromorphic sensorimotor textiles. Proceedings of the National Academy of Sciences of the United States of America, 121(33), e2407971121-. https://dx.doi.org/10.1073/pnas.2407971121
Project: MOE2019-T2-2-127 
MOE-T2EP50120-0002 
MOE-T2EP50123-0014 
RG62/22 
A2083c0062 
I2001E0067 
Journal: Proceedings of the National Academy of Sciences of the United States of America 
Abstract: 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.
URI: https://hdl.handle.net/10356/180383
ISSN: 0027-8424
DOI: 10.1073/pnas.2407971121
Schools: School of Electrical and Electronic Engineering 
Rights: © 2024 The Author(s). Published by National Academy of Sciences. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1073/pnas.2407971121.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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