Non–von Neumann multi-input spike signal processing enabled by an artificial synaptic multiplexer

Dong Hae Ho, Dong Gue Roe, Yoon Young Choi, Seongchan Kim, Young Jin Choi, Do Hwan Kim, Sae Byeok Jo, Jeong Ho Cho

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Multiplexing is essential for technologies that require processing of a large amount of information in real time. Here, we present an artificial synaptic multiplexing unit capable of realizing parallel multi-input control system. Ion gel was used as a dielectric layer of the artificial synaptic multiplexing unit because of its ionic property, allowing multigating for parallel input. A closed-loop control system that enables multi-input–based feedback for actuator bending control was realized by incorporating an ion gel–based artificial synaptic multiplexing unit, an actuator, and a bending angle sensor. The proposed multi-input control system could simultaneously process input and feedback signals, offering a breakthrough in industries in which the processing of vast amounts of streaming data is essential.

Original languageEnglish
Article numbereabn183
JournalScience Advances
Volume8
Issue number25
DOIs
Publication statusPublished - 2022 Jun

Bibliographical note

Funding Information:
This research was supported by Creative Materials Discovery Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2019M3D1A1078299) and the National R&D Program through the NRF funded by the Ministry of Science and ICT (2021M3D1A2049315).

Publisher Copyright:
© 2022 The Authors, some rights reserved

All Science Journal Classification (ASJC) codes

  • General

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