Nanoscale Memristor Device as Synapse in Neuromorphic Systems

被引：3339

作者：

Jo, Sung Hyun ^{[1
]}

Chang, Ting ^{[1
]}

Ebong, Idongesit ^{[1
]}

Bhadviya, Bhavitavya B. ^{[1
]}

Mazumder, Pinaki ^{[1
]}

Lu, Wei ^{[1
]}

机构：

[1] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA

来源：

NANO LETTERS | 2010年 / 10卷 / 04期

基金：

美国国家科学基金会;

关键词：

Nanoelectronics; neuromorphic system; memristor; synaptic adaptation; spike-timing dependent plasticity; RESISTANCE; MODEL;

D O I：

10.1021/nl904092h

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

A memristor is a two-terminal electronic device whose conductance can be precisely modulated by charge or flux through it. Here we experimentally demonstrate a nanoscale silicon-based memristor device and show that a hybrid system composed of complementary metal oxide semiconductor neurons and memristor synapses can support important synaptic functions such as spike timing dependent plasticity. Using memristors as synapses in neuromorphic circuits can potentially offer both high connectivity and high density required for efficient computing.

引用

页码：1297 / 1301

页数：5

共 50 条

[21] Synapse device based neuromorphic system for biomedical applications
Cho, Seojin
Lee, Chuljun
Lee, Daeseok
BIOMEDICAL ENGINEERING LETTERS, 2024, 14 (05) : 903 - 916
[22] Optimizations for a Current-Controlled Memristor- Based Neuromorphic Synapse Design
Das, Hritom
Febbo, Rocco D.
Rizzo, Charles P.
Chakraborty, Nishith N.
Plank, James S.
Rose, Garrett S.
IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, 2023, 13 (04) : 889 - 900
[23] The Circuit Realization of a Neuromorphic Computing System with Memristor-Based Synapse Design
Liu, Beiye
Chen, Yiran
Wysocki, Bryant
Huang, Tingwen
NEURAL INFORMATION PROCESSING, ICONIP 2012, PT I, 2012, 7663 : 357 - 365
[24] Investigation and Manipulation of Different Analog Behaviors of Memristor as Electronic Synapse for Neuromorphic Applications
Changhong Wang
Wei He
Yi Tong
Rong Zhao
Scientific Reports, 6
[25] Memristor-based Synapse Design and Training Scheme for Neuromorphic Computing Architecture
Wang, Hui
Li, Hai
Pino, Robinson E.
2012 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2012,
[26] Investigation and Manipulation of Different Analog Behaviors of Memristor as Electronic Synapse for Neuromorphic Applications
Wang, Changhong
He, Wei
Tong, Yi
Zhao, Rong
SCIENTIFIC REPORTS, 2016, 6
[27] Graphene oxide based synaptic memristor device for neuromorphic computing
Sahu, Dwipak Prasad
Jetty, Prabana
Jammalamadaka, S. Narayana
NANOTECHNOLOGY, 2021, 32 (15)
[28] Design of TEG Module for memristor Device Verification for Neuromorphic Chips
Jin, HongZhou
Cha, JinSol
Lee, Dogyu
Ha, Pan-Bong
Kim, YoungHee
Yoo, Hoyoung
2020 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC), 2020,
[29] A Bi-Memristor Synapse with Spike-Timing-Dependent Plasticity for On-Chip Learning in Memristive Neuromorphic Systems
Sayyaparaju, Sagarvarma
Amer, Sherif
Rose, Garrett S.
2018 19TH INTERNATIONAL SYMPOSIUM ON QUALITY ELECTRONIC DESIGN (ISQED), 2018, : 69 - 74
[30] Understanding of proton induced synaptic behaviors in three-terminal synapse device for neuromorphic systems
Lee, Jongwon
Lim, Seokjae
Kwak, Myonghoon
Song, Jeonghwan
Hwang, Hyunsang
NANOTECHNOLOGY, 2019, 30 (25)

← 1 2 3 4 5 →