Pulse-Programmed Short-Term Plasticity and Long-Term Potentiation of MoS2 Memristive Devices

被引:4
作者
Ki, Seungjun [1 ]
Chen, Mingze [1 ]
Liang, Xiaogan [1 ]
机构
[1] Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA
关键词
Memristors; Voltage measurement; Pulse measurements; Fitting; Behavioral sciences; Programming; Current measurement; nanofabrication; neuromorphic systems; two-dimensional materials; HYSTERESIS; STATES; MODEL;
D O I
10.1109/MNANO.2023.3297105
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Short-term plasticity (STP) and long-term potentiation (LTP) properties of neural synapses are crucial for developing complex neuromorphic systems and functions. In this work, we fabricated two-terminal memristors with multi-layer MoS2 channels and investigated pulse-programmed short-term and long-term synaptic responses. This work indicates that MoS2 memristors exhibit different magnitudes of STP and LTP effects under different pulse programming settings. Specifically, we utilized the paired-pulse facilitation (PPF) function for fitting experimentally measured relaxation curves of MoS2 memristors to quantitatively evaluate the relative dominance of STP and LTP effects. Such analytic results show that the absolute magnitudes of both STP and LTP effects in a memristor increase with increasing pulse frequency, pulse voltage (or amplitude), pulse duty cycle, and a total number of applied pulses, whereas the relative dominance levels of these two effects are typically not in a simple monotonous relationship with these pulse parameters. This indicates that the programming pulse parameters profoundly affect pulse-field-mediated charge trapping and S-vacancy migration processes which are responsible for the observed STP and LTP effects, respectively. This work provides a useful guideline for activating STP and LTP effects in emerging memristive devices based on 2D layered semiconductors, which could be deployed for making synaptic nodes in hardware-based artificial neural networks or neuromorphic sensory devices capable of sensing spatiotemporal events.
引用
收藏
页码:24 / 29
页数:6
相关论文
共 34 条
[1]   Deep Artificial Neural Networks and Neuromorphic Chips for Big Data Analysis: Pharmaceutical and Bioinformatics Applications [J].
Anton Pastur-Romay, Lucas ;
Cedron, Francisco ;
Pazos, Alejandro ;
Belen Porto-Pazos, Ana .
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2016, 17 (08)
[2]   Cell-type-specific resonances shape the responses of striatal neurons to synaptic input [J].
Beatty, Joseph A. ;
Song, Soomin C. ;
Wilson, Charles J. .
JOURNAL OF NEUROPHYSIOLOGY, 2015, 113 (03) :688-700
[3]   Short-Term Memory to Long-Term Memory Transition in a Nanoscale Memristor [J].
Chang, Ting ;
Jo, Sung-Hyun ;
Lu, Wei .
ACS NANO, 2011, 5 (09) :7669-7676
[4]  
Chen M. K., 2017, MICROSYST NANOENG, V3, P1
[5]   Abnormal Multiple Charge Memory States in Exfoliated Few-Layer WSe2 Transistors [J].
Chen, Mikai ;
Wang, Yifan ;
Shepherd, Nathan ;
Huard, Chad ;
Zhou, Jiantao ;
Guo, L. J. ;
Lu, Wei ;
Liang, Xiaogan .
ACS NANO, 2017, 11 (01) :1091-1102
[6]   Multibit Data Storage States Formed in Plasma-Treated MoS2 Transistors [J].
Chen, Mikai ;
Nam, Hongsuk ;
Wi, Sungjin ;
Priessnitz, Greg ;
Gunawan, Ivan Manuel ;
Liang, Xiaogan .
ACS NANO, 2014, 8 (04) :4023-4032
[7]   Memristive Behavior and Ideal Memristor of 1T Phase MoS2 Nanosheets [J].
Cheng, Peifu ;
Sun, Kai ;
Hu, Yun Hang .
NANO LETTERS, 2016, 16 (01) :572-576
[8]   Curved neuromorphic image sensor array using a MoS2-organic heterostructure inspired by the human visual recognition system [J].
Choi, Changsoon ;
Leem, Juyoung ;
Kim, Min Sung ;
Taqieddin, Amir ;
Cho, Chullhee ;
Cho, Kyoung Won ;
Lee, Gil Ju ;
Seung, Hyojin ;
Jong, Hyung ;
Song, Young Min ;
Hyeon, Taeghwan ;
Aluru, Narayana R. ;
Nam, SungWoo ;
Kim, Dae-Hyeong .
NATURE COMMUNICATIONS, 2020, 11 (01)
[9]   Experimental Demonstration of Feature Extraction and Dimensionality Reduction Using Memristor Networks [J].
Choi, Shinhyun ;
Shin, Jong Hoon ;
Lee, Jihang ;
Sheridan, Patrick ;
Lu, Wei D. .
NANO LETTERS, 2017, 17 (05) :3113-3118
[10]   Activity-dependent synaptic GRIP1 accumulation drives synaptic scaling up in response to action potential blockade [J].
Gainey, Melanie A. ;
Tatavarty, Vedakumar ;
Nahmani, Marc ;
Lin, Heather ;
Turrigiano, Gina G. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2015, 112 (27) :E3590-E3599