中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 自动化研究所
  3. 中国科学院自动化研究所
  4. 脑图谱与类脑智能实验室
  5. 类脑认知计算
Quantum superposition inspired spiking neural network

文献类型：期刊论文

作者Sun, Yinqian1,4; Zeng, Yi1,2,3,4,5; Zhang, Tielin1
刊名ISCIENCE
出版日期2021-08-20
卷号24期号:8页码:16
DOI10.1016/j.isci.2021.102880
通讯作者Zeng, Yi(yi.zeng@ia.ac.cn)
英文摘要Despite advances in artificial intelligence models, neural networks still cannot achieve human performance, partly due to differences in how information is encoded and processed compared with human brain. Information in an artificial neural network (ANN) is represented using a statistical method and processed as a fitting function, enabling handling of structural patterns in image, text, and speech processing. However, substantial changes to the statistical characteristics of the data, for example, reversing the background of an image, dramatically reduce the performance. Here, we propose a quantum superposition spiking neural network (QS-SNN) inspired by quantum mechanisms and phenomena in the brain, which can handle reversal of image background color. The QS-SNN incorporates quantum theory with brain-inspired spiking neural network models from a computational perspective, resulting in more robust performance compared with traditional ANN models, especially when processing noisy inputs. The results presented here will inform future efforts to develop brain-inspired artificial intelligence.
WOS关键词MODEL
资助项目new generation of artificial intelligence major project of the Ministry of Science and Technology of the People's Republic of China[2020AAA0104305] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB32070100] ; Beijing Municipal Commission of Science and Technology[Z181100001518006]
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:000686897200067
出版者CELL PRESS
资助机构new generation of artificial intelligence major project of the Ministry of Science and Technology of the People's Republic of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Beijing Municipal Commission of Science and Technology
源URL[http://ir.ia.ac.cn/handle/173211/45926]  
专题类脑智能研究中心_类脑认知计算
通讯作者Zeng, Yi
作者单位1.Chinese Acad Sci, Res Ctr Brain Inspired Intelligence, Inst Automat, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai 200031, Peoples R China
3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
4.Univ Chinese Acad Sci, Sch Future Technol, Beijing 100190, Peoples R China
5.Univ Chinese Acad Sci, Sch Artifidal Intelligence, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Sun, Yinqian,Zeng, Yi,Zhang, Tielin. Quantum superposition inspired spiking neural network[J]. ISCIENCE,2021,24(8):16.
APA Sun, Yinqian,Zeng, Yi,&Zhang, Tielin.(2021).Quantum superposition inspired spiking neural network.ISCIENCE,24(8),16.
MLA Sun, Yinqian,et al."Quantum superposition inspired spiking neural network".ISCIENCE 24.8(2021):16.

入库方式： OAI收割

来源：自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。