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

被引：23

作者：

Ho, Dong Hae ^{[1
]}

Roe, Dong Gue ^{[2
]}

Choi, Yoon Young ^{[3
]}

Kim, Seongchan ^{[4
]}

Choi, Young Jin ^{[1
]}

Kim, Do Hwan ^{[5
]}

Jo, Sae Byeok ^{[1
]}

Cho, Jeong Ho ^{[1
]}

机构：

[1] Yonsei Univ, Dept Chem & Biomol Engn, Seoul 120749, South Korea

[2] Yonsei Univ, Sch Elect & Elect Engn, Seoul 03722, South Korea

[3] Univ Illinois, Dept Mech Sci & Engn, Urbana, IL 61801 USA

[4] Sungkyunkwan Univ, SKKU Adv Inst Nanotechnol SAINT, Suwon 16419, South Korea

[5] Hanyang Univ, Dept Chem Engn, Seoul 04763, South Korea

来源：

SCIENCE ADVANCES | 2022年 / 8卷 / 25期

基金：

新加坡国家研究基金会;

关键词：

PID CONTROLLERS; SENSOR; COMPLEXITY; CIRCUIT; STRAIN;

D O I：

10.1126/sciadv.abn1838

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页数：8

共 51 条

[1] Toward the use of neural networks for influenza prediction at multiple spatial resolutions [J].

Aiken, Emily L. ;

Nguyen, Andre T. ;

Viboud, Cecile ;

Santillana, Mauricio .

SCIENCE ADVANCES, 2021, 7 (25)

[2]

Ailamaki A, 2015, PROC VLDB ENDOW, V8, P2059

[3] Transparent and flexible fingerprint sensor array with multiplexed detection of tactile pressure and skin temperature [J].

An, Byeong Wan ;

Heo, Sanghyun ;

Ji, Sangyoon ;

Bien, Franklin ;

Park, Jang-Ung .

NATURE COMMUNICATIONS, 2018, 9

[4]

[Anonymous], 2018, Nature, V554, P145, DOI DOI 10.1038/D41586-018-01683-1

[5] On the circuit complexity of sigmoid feedforward neural networks [J].

Beiu, V ;

Taylor, JG .

NEURAL NETWORKS, 1996, 9 (07) :1155-1171

[6] Trends and challenges in robot manipulation [J].

Billard, Aude ;

Kragic, Danica .

SCIENCE, 2019, 364 (6446) :1149-+

[7] Fully automated closed-loop glucose control compared with standard insulin therapy in adults with type 2 diabetes requiring dialysis: an open-label, randomized crossover trial [J].

Boughton, Charlotte K. ;

Tripyla, Afroditi ;

Hartnell, Sara ;

Daly, Aideen ;

Herzig, David ;

Wilinska, Malgorzata E. ;

Czerlau, Cecilia ;

Fry, Andrew ;

Bally, Lia ;

Hovorka, Roman .

NATURE MEDICINE, 2021, 27 (08) :1471-+

[8] Terabit-Scale Orbital Angular Momentum Mode Division Multiplexing in Fibers [J].

Bozinovic, Nenad ;

Yue, Yang ;

Ren, Yongxiong ;

Tur, Moshe ;

Kristensen, Poul ;

Huang, Hao ;

Willner, Alan E. ;

Ramachandran, Siddharth .

SCIENCE, 2013, 340 (6140) :1545-1548

[9] Looking at neurodevelopment through a big data lens [J].

Briscoe, James ;

Marin, Oscar .

SCIENCE, 2020, 369 (6510) :1447-+

[10] Ultrasensitive strain sensor based on superhydrophobic microcracked conductive Ti3C2Tx MXene/paper for human-motion monitoring and E-skin [J].

Bu, Yibing ;

Shen, Taoyu ;

Yang, Wenke ;

Yang, Shiyin ;

Zhao, Ye ;

Liu, Hu ;

Zheng, Yanjun ;

Liu, Chuntai ;

Shen, Changyu .

SCIENCE BULLETIN, 2021, 66 (18) :1849-1857

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