Knowledge Commons of Institute of Automation,CAS
Quantum superposition inspired spiking neural network | |
Sun, Yinqian1,4; Zeng, Yi1,2,3,4,5; Zhang, Tielin1 | |
发表期刊 | ISCIENCE |
2021-08-20 | |
卷号 | 24期号:8页码:16 |
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. |
DOI | 10.1016/j.isci.2021.102880 |
关键词[WOS] | MODEL |
收录类别 | SCI |
语种 | 英语 |
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] |
项目资助者 | 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 |
WOS研究方向 | Science & Technology - Other Topics |
WOS类目 | Multidisciplinary Sciences |
WOS记录号 | WOS:000686897200067 |
出版者 | CELL PRESS |
是否为代表性论文 | 是 |
七大方向——子方向分类 | 类脑模型与计算 |
国重实验室规划方向分类 | 其他 |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/45927 |
专题 | 脑图谱与类脑智能实验室_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 |
通讯作者单位 | 模式识别国家重点实验室 |
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. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
PIIS2589004221008488(2756KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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。
修改评论