Spatiotemporal Modulation of Plasticity in Multi‐Terminal Tactile Synaptic Transistor

Abstract Neuromorphic system based on artificial synaptic devices is considered as a potential candidate to realize the in‐memory computing and parallel processing of data for overcoming the von Neumann bottleneck. However, to fully imitate the complicated functions of the biological neural networks...

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Main Authors: Wen‐Ai Mo, Guanglong Ding, Zihao Nie, Zihao Feng, Kui Zhou, Ruo‐Si Chen, Peng Xie, Gang Shang, Su‐Ting Han, Ye Zhou
Format: Article
Language:English
Published: Wiley-VCH 2023-01-01
Series:Advanced Electronic Materials
Subjects:
Online Access:https://doi.org/10.1002/aelm.202200733
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author Wen‐Ai Mo
Guanglong Ding
Zihao Nie
Zihao Feng
Kui Zhou
Ruo‐Si Chen
Peng Xie
Gang Shang
Su‐Ting Han
Ye Zhou
author_facet Wen‐Ai Mo
Guanglong Ding
Zihao Nie
Zihao Feng
Kui Zhou
Ruo‐Si Chen
Peng Xie
Gang Shang
Su‐Ting Han
Ye Zhou
author_sort Wen‐Ai Mo
collection DOAJ
description Abstract Neuromorphic system based on artificial synaptic devices is considered as a potential candidate to realize the in‐memory computing and parallel processing of data for overcoming the von Neumann bottleneck. However, to fully imitate the complicated functions of the biological neural networks at the hardware level is still a challenging task. In this work, a multi‐terminal MoS2 synaptic transistor is developed, which not only simulates various biological synaptic behaviors, including paired pulse facilitation (PPF), excitatory/inhibitory post‐synaptic current (EPSC/IPSC), spike‐rate‐dependent plasticity (SRDP), and spike‐timing‐dependent plasticity (STDP), but also can independently mimic the parallel signal processing and transmissions in biological multipolar neurons. By combining the multi‐terminal MoS2 synaptic transistor with the micro‐structured polydimethylsiloxane (PDMS) pressure sensors, an intelligent tactile recognition system is built up, which can realize the spatiotemporal recognition of touch position. Furthermore, with sensor selection, the spatiotemporal modulation of synaptic plasticity and the human learning and forgetting behaviors to the knowledge with different difficulty degrees can be mimicked. This work provides a novel interconnection scheme for simulating signal transmission and processing among neurons, showing broad application prospects of the multi‐terminal MoS2 synaptic transistor in intelligent human–computer interaction and bionic neuromorphic perception systems.
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spelling doaj.art-7645159254d446a3ae592d5ae1eb3b402023-07-26T01:35:51ZengWiley-VCHAdvanced Electronic Materials2199-160X2023-01-0191n/an/a10.1002/aelm.202200733Spatiotemporal Modulation of Plasticity in Multi‐Terminal Tactile Synaptic TransistorWen‐Ai Mo0Guanglong Ding1Zihao Nie2Zihao Feng3Kui Zhou4Ruo‐Si Chen5Peng Xie6Gang Shang7Su‐Ting Han8Ye Zhou9College of Electronics and Information Engineering Shenzhen University Shenzhen 518060 P. R. ChinaInstitute for Advanced Study Shenzhen University Shenzhen 518060 P. R. ChinaInstitute for Advanced Study Shenzhen University Shenzhen 518060 P. R. ChinaInstitute for Advanced Study Shenzhen University Shenzhen 518060 P. R. ChinaInstitute for Advanced Study Shenzhen University Shenzhen 518060 P. R. ChinaCollege of Electronics and Information Engineering Shenzhen University Shenzhen 518060 P. R. ChinaShenzhen Key Laboratory of Flexible Memory Materials and Devices Institute of Microscale Optoelectronics Shenzhen University Shenzhen 518060 P. R. ChinaShenzhen Key Laboratory of Flexible Memory Materials and Devices Institute of Microscale Optoelectronics Shenzhen University Shenzhen 518060 P. R. ChinaCollege of Electronics and Information Engineering Shenzhen University Shenzhen 518060 P. R. ChinaInstitute for Advanced Study Shenzhen University Shenzhen 518060 P. R. ChinaAbstract Neuromorphic system based on artificial synaptic devices is considered as a potential candidate to realize the in‐memory computing and parallel processing of data for overcoming the von Neumann bottleneck. However, to fully imitate the complicated functions of the biological neural networks at the hardware level is still a challenging task. In this work, a multi‐terminal MoS2 synaptic transistor is developed, which not only simulates various biological synaptic behaviors, including paired pulse facilitation (PPF), excitatory/inhibitory post‐synaptic current (EPSC/IPSC), spike‐rate‐dependent plasticity (SRDP), and spike‐timing‐dependent plasticity (STDP), but also can independently mimic the parallel signal processing and transmissions in biological multipolar neurons. By combining the multi‐terminal MoS2 synaptic transistor with the micro‐structured polydimethylsiloxane (PDMS) pressure sensors, an intelligent tactile recognition system is built up, which can realize the spatiotemporal recognition of touch position. Furthermore, with sensor selection, the spatiotemporal modulation of synaptic plasticity and the human learning and forgetting behaviors to the knowledge with different difficulty degrees can be mimicked. This work provides a novel interconnection scheme for simulating signal transmission and processing among neurons, showing broad application prospects of the multi‐terminal MoS2 synaptic transistor in intelligent human–computer interaction and bionic neuromorphic perception systems.https://doi.org/10.1002/aelm.202200733artificial synapsesmemorypressure sensorstactile recognitiontransistors
spellingShingle Wen‐Ai Mo
Guanglong Ding
Zihao Nie
Zihao Feng
Kui Zhou
Ruo‐Si Chen
Peng Xie
Gang Shang
Su‐Ting Han
Ye Zhou
Spatiotemporal Modulation of Plasticity in Multi‐Terminal Tactile Synaptic Transistor
Advanced Electronic Materials
artificial synapses
memory
pressure sensors
tactile recognition
transistors
title Spatiotemporal Modulation of Plasticity in Multi‐Terminal Tactile Synaptic Transistor
title_full Spatiotemporal Modulation of Plasticity in Multi‐Terminal Tactile Synaptic Transistor
title_fullStr Spatiotemporal Modulation of Plasticity in Multi‐Terminal Tactile Synaptic Transistor
title_full_unstemmed Spatiotemporal Modulation of Plasticity in Multi‐Terminal Tactile Synaptic Transistor
title_short Spatiotemporal Modulation of Plasticity in Multi‐Terminal Tactile Synaptic Transistor
title_sort spatiotemporal modulation of plasticity in multi terminal tactile synaptic transistor
topic artificial synapses
memory
pressure sensors
tactile recognition
transistors
url https://doi.org/10.1002/aelm.202200733
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