MRS Meetings and Events

 

EQ11.13.02 2022 MRS Spring Meeting

Non von Neumann Multi-Input Spike Signal Processing Enabled by an Artificial Synaptic Multiplexer

When and Where

May 13, 2022
10:45am - 11:00am

Hawai'i Convention Center, Level 3, 318A

Presenter

Co-Author(s)

Dong Hae Ho1,Dong Gue Roe1,Yoon Young Choi2,Seongchan Kim3,Young Jin Choi1,Do Hwan Kim4,Sae Byeok Jo1,Jeong Ho Cho1

Yonsei University1,University of Illinois at Urbana-Champaign2,SKKU3,Hanyang University4

Abstract

Dong Hae Ho1,Dong Gue Roe1,Yoon Young Choi2,Seongchan Kim3,Young Jin Choi1,Do Hwan Kim4,Sae Byeok Jo1,Jeong Ho Cho1

Yonsei University1,University of Illinois at Urbana-Champaign2,SKKU3,Hanyang University4
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 multi-gating 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, 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.

Keywords

biomimetic

Symposium Organizers

Yoeri van de Burgt, Technische Universiteit Eindhoven
Yiyang Li, University of Michigan
Francesca Santoro, Forschungszentrum Jülich/RWTH Aachen University
Ilia Valov, Research Center Juelich

Symposium Support

Bronze
Nextron Corporation

Publishing Alliance

MRS publishes with Springer Nature