arrow
Return

Fully photon modulated heterostructure for neuromorphic computing

delete2019-11-01
delete129
PRE
AI
H
Huilin Li
X
Xiantao Jiang
W
Wenbin Ye
张
张涵 (Hua Zhang)
周
周丽 (Li Zhou)
F
Feng Zhang
D
Donghong She
Y
Ye Zhou *
Han Suting cover
Han Suting (Su‐Ting Han) *
DOI:10.1016/j.nanoen.2019.104000delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Neuromorphic computing has attracted great attention to mimic the brain functions of perception, learning and memory, which are considered to overcome the von Neumann bottleneck. Here, we developed a novel neuromorphic device based on the ZnO/PbS hybrid heterostructure in order to emulate the bio-synaptic activities in the fully photon modulated mode. Owing to regulation of the conduction state, the excitatory and inhibitory activities have been emulated with the excitation of long-wavelength and short-wavelength photons in the ZnO/PbS neuromorphic device. Excitatory plasticity can be mimicked with the UV light, and IR light induces the inhibitory effect. Furthermore, other synapse functions have also been emulated in these modes, including long-term plasticity, short-term plasticity, paired-pulse facilitation/depression, spike-rate-dependent plasticity, etc. Meanwhile, an artificial neural network has been simulated based on the synaptic plasticity of the excitatory and inhibitory effect in the fully photon modulation, and recognition rates up to 67 +/- 6% can be achieved to distinguish the letter images. Our multifunctional artificial synapse based on the fully photon stimulation can open up a new and efficient way for constructing neuromorphic systems.
Keywords:
Heterostructure
Neuromorphic device
Artificial synapse
Memristor
Photonic synapse
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Nano Energy cover
Nano Energy
IF:
17.1
Papers:
1.2W
Citations:
13.0W

Organization

S
shenzhen university
Scholars:
4.6W
Papers: 3.4W
Citations: 72
Cited Papers

Cited Papers

Artificial Synapses Emulated by an Electrolyte-Gated Tungsten-Oxide Transistor
err2018-07-04
err301
PREAI
errYang, Jing-Ting; Ge, Chen; Du, Jian-Yu; Huang, He-Yi; He, Meng; Wang, Can; Lu, Hui-Bin; Yang, Guo-Zhen; Jin, Kui-Juan
errShare
errSave
A MoS2/PTCDA Hybrid Heterojunction Synapse with Efficient Photoelectric Dual Modulation and Versatility
err2018-11-28
err446
PREAI
errWang, Shuiyuan; Chen, Chunsheng; Yu, Zhihao; He, Yongli; Chen, Xiaoyao; Wan, Qing; Shi, Yi; Zhang, David Wei; Zhou, Hao; Wang, Xinran; Zhou, Peng
errShare
errSave
p53 Dynamics Control Cell Fate
err2012-06-15
err0
errOAAI
errJeremy E. Purvis; Kyle W. Karhohs; Caroline Mock; Eric Batchelor; Alexander Loewer; Galit Lahav
errShare
errSave
All-Solid-State Synaptic Transistor with Ultralow Conductance for Neuromorphic Computing
err2018-09-05
err384
errOAAI
errYang, Chuan-Sen; Shang, Da-Shan; Liu, Nan; Fuller, Elliot J.; Agrawal, Sapan; Talin, A. Alec; Li, Yong-Qing; Shen, Bao-Gen; Sun, Young
errShare
errSave
errShare
errSave
2D MoS2 Neuromorphic Devices for Brain-Like Computational Systems
errSMALL
IF12.1
err2017-05-31
err299
PREAI
errJiang, Jie; Guo, Junjie; Wan, Xiang; Yang, Yi; Xie, Haipeng; Niu, Dongmei; Yang, Junliang; He, Jun; Gao, Yongli; Wan, Qing
errShare
errSave
Excited-state vibrational dynamics toward the polaron in methylammonium lead iodide perovskite
err2018-06-28
err152
errOAAI
errPark, Myeongkee; Neukirch, Amanda J.; Reyes-Lillo, Sebastian E.; Lai, Minliang; Ellis, Scott R.; Dietze, Daniel; Neaton, Jeffrey B.; Yang, Peidong; Tretiak, Sergei; Mathies, Richard A.
errShare
errSave
researcher View more