Ni, Yao and Han, Hong and Liu, Jiaqi and Choi, Yongsuk and Liu, Lu and Xu, Zhipeng and Yang, Lu and Jiang, Chengpeng and Gao, Wei and Xu, Wentao (2022) A fibrous neuromorphic device for multi-level nerve pathways implementing knee jerk reflex and cognitive activities. Nano Energy, 104, Pt. B . Art. No.Art. No. 107898. ISSN 2211-2855. doi:10.1016/j.nanoen.2022.107898. https://resolver.caltech.edu/CaltechAUTHORS:20230103-817548100.26
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Abstract
Here, we present fibrous neuromorphic devices (FNDs) that serves as multi-level nerve pathways to implement a biomimetic knee-jerk reflex and cognitive activities. By the tunable charge-carrier polarity of the fibrous electrolyte, FNDs successfully simulate the competition between glutamate and γ-aminobutyric acid (GABA) in a multiplexed transmission process in the human nervous system. To emulate action signals that respond to environmental stimuli in a low-level nerve pathway, a fiber-level neurologically integrated muscular system was constructed by cascading with FNDs and artificial muscle fibers; the system realized unconditioned reflex, even under loads of several Newtons. To emulate the high-level nerve pathway, multiple conductive states of FNDs were used to construct flexible neuromorphic networks; the recognition accuracy for the Fashion MNIST dataset was > 83%, with < 0.1% loss of accuracy even after 100 bending cycles, which represents the most stable recognition result for flexible neuromorphic electronics so far. The presented FNDs provide an excellent basis for the development of human-compatible artificial neurological systems.
Item Type: | Article | ||||||||||||
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Additional Information: | This research was supported by the National Science Fund for Distinguished Young Scholars of China (T2125005), the National Key R&D Program of China (2022YFE0198200), the Tianjin Science Foundation for Distinguished Young Scholars (19JCJQJC61000), and the Shenzhen Science and Technology Project (JCYJ20210324121002008). Data availability. Data will be made available on request. | ||||||||||||
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DOI: | 10.1016/j.nanoen.2022.107898 | ||||||||||||
Record Number: | CaltechAUTHORS:20230103-817548100.26 | ||||||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20230103-817548100.26 | ||||||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||||
ID Code: | 118627 | ||||||||||||
Collection: | CaltechAUTHORS | ||||||||||||
Deposited By: | Research Services Depository | ||||||||||||
Deposited On: | 27 Jan 2023 18:39 | ||||||||||||
Last Modified: | 27 Jan 2023 18:39 |
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