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

Author:

Chen Long12ORCID,Ren Ming1ORCID,Zhou Jianxian1,Zhou Xuhui2,Liu Fan2,Di Jiangtao1,Xue Pan3,Li Chunsheng4,Li Qingwen1,Li Yang5ORCID,Wei Lei2ORCID,Zhang Qichong1ORCID

Affiliation:

1. Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China

2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore

3. School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou 225002, China

4. School of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou 215009, China

5. School of Microelectronics, Shandong University, Jinan 250101, China

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 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.

Funder

Ministry of Education - Singapore

A*STAR under AME IRG

Publisher

Proceedings of the National Academy of Sciences

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