One-dimensional organic artificial multi-synapses enabling electronic textile neural network for wearable neuromorphic applications

Seonggil Ham, Minji Kang, Seonghoon Jang, Jingon Jang, Sanghyeon Choi, Tae Wook Kim, Gunuk Wang

Research output: Contribution to journalArticle

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-μm 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 ∼90 and ∼70% recognition accuracy for MNIST and electrocardiogram patterns, respectively, even in a single-layer neural network, and almost maintained regardless of the bending conditions.

Original languageEnglish
Article numbereaba1178
JournalScience Advances
Volume6
Issue number28
DOIs
Publication statusPublished - 2020 Jul

ASJC Scopus subject areas

  • General

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