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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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