.png){kind=icon}
返回
Nanowire-based synaptic devices for neuromorphic computing
.png){kind=icon}
OA
AI
DOI：10.1088/2752-5724/acc678.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The traditional von Neumann structure computers cannot meet the demands of high-speed big data processing; therefore, neuromorphic computing has received a lot of interest in recent years. Brain-inspired neuromorphic computing has the advantages of low power consumption, high speed and high accuracy. In human brains, the data transmission and processing are realized through synapses. Artificial synaptic devices can be adopted to mimic the biological synaptic functionalities. Nanowire (NW) is an important building block for nanoelectronics and optoelectronics, and many efforts have been made to promote the application of NW-based synaptic devices for neuromorphic computing. Here, we will introduce the current progress of NW-based synaptic memristors and synaptic transistors. The applications of NW-based synaptic devices for neuromorphic computing will be discussed. The challenges faced by NW-based synaptic devices will be proposed. We hope this perspective will be beneficial for the application of NW-based synaptic devices in neuromorphic systems.
Keyword:
nanowires
synapse
memristor
transistor
neuromorphic computing
期刊
IF:
10.8
论文数:
276
被引数:
1.1K
机构
引用论文
Reconfigurable 2D-ferroelectric platform for neuromorphic computing用于神经形态计算的可重构2d铁电平台.png)
APPLIED PHYSICS REVIEWS
APPLIED PHYSICS REVIEWSIF11.6
PREAI
分享收藏
查看更多内容