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Optical Bio-Inspired Synaptic Devices

delete2024-09-29
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AI
李鹏程 封面图
李鹏程 (Pengcheng Li)
K
Kesheng Wang
S
Shanshan Jiang
何刚 封面图
何刚 (Gang He) *
H
Hainan Zhang
S
Shuo Cheng
Q
Qingxuan Li *
Y
Yixin Zhu
C
Can Fu
H
Huanhuan Wei
B
Bo He
Y
Yujiao Li
DOI:10.3390/nano14191573delete
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摘要

摘要

En 中文
The traditional computer with von Neumann architecture has the characteristics of separate storage and computing units, which leads to sizeable time and energy consumption in the process of data transmission, which is also the famous von Neumann storage wall problem. Inspired by neural synapses, neuromorphic computing has emerged as a promising solution to address the von Neumann problem due to its excellent adaptive learning and parallel capabilities. Notably, in 2016, researchers integrated light into neuromorphic computing, which inspired the extensive exploration of optoelectronic and all-optical synaptic devices. These optical synaptic devices offer obvious advantages over traditional all-electric synaptic devices, including a wider bandwidth and lower latency. This review provides an overview of the research background on optoelectronic and all-optical devices, discusses their implementation principles in different scenarios, presents their application scenarios, and concludes with prospects for future developments.
Keyword:
optoelectronic
all-optical modulation
synaptic devices
neuromorphic computing
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期刊

N
Nanomaterials
IF:
4.3
论文数:
2.3W
被引数:
8.1W

机构

Y
yongjiang laboratory
学者数:
343
论文数: 260
被引数: 2
A
anhui university
学者数:
1.9W
论文数: 1.2W
被引数: 24
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