One-dimensional organic artificial multi-synapses enabling electronic textile neural network for wearable neuromorphic applications
- Authors
- Ham, Seonggil; Kang, Minji; Jang, Seonghoon; Jang, Jingon; Choi, Sanghyeon; Kim, Tae-Wook; Wang, Gunuk
- Issue Date
- 7월-2020
- Publisher
- AMER ASSOC ADVANCEMENT SCIENCE
- Citation
- SCIENCE ADVANCES, v.6, no.28
- Indexed
- SCIE
SCOPUS
- Journal Title
- SCIENCE ADVANCES
- Volume
- 6
- Number
- 28
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/54472
- DOI
- 10.1126/sciadv.aba1178
- ISSN
- 2375-2548
- Abstract
- One-dimensional (1D) devices are becoming the most desirable format for wearable electronic technology because they can be easily woven into electronic (e-) textile(s) with versatile functional units while maintaining their inherent features under mechanical stress. In this study, we designed 1D fiber-shaped multi-synapses comprising ferroelectric organic transistors fabricated on a 100-mu m Ag wire and used them as multisynaptic channels in an e-textile neural network for wearable neuromorphic applications. The device mimics diverse synaptic functions with excellent reliability even under 6000 repeated input stimuli and mechanical bending stress. Various NOR-type textile arrays are formed simply by cross-pointing 1D synapses with Ag wires, where each output from individual synapse can be integrated and propagated without undesired leakage. Notably, the 1D multi-synapses achieved up to similar to 90 and similar to 70% recognition accuracy for MNIST and electrocardiogram patterns, respectively, even in a single-layer neural network, and almost maintained regardless of the bending conditions.
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Collections - Graduate School > KU-KIST Graduate School of Converging Science and Technology > 1. Journal Articles
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