Non-uniqueness Phenomenon of Object Representation in Modeling IT Cortex by Deep Convolutional Neural Network (DCNN)
文献类型：期刊论文
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| 作者 | Dong, Qiulei1,2,3 ; Liu, Bo1,2; Hu, Zhanyi1,2,3
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| 刊名 | FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
 ; FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
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| 出版日期 | 2020-05-12 ; 2020-05-12 |
| 卷号 | 14页码:9 |
| 关键词 | deep convolutional neural network deep convolutional neural network neural object representation inferotemporal cortex non-uniqueness image object representation neural object representation inferotemporal cortex non-uniqueness image object representation |
| DOI | 10.3389/fncom.2020.00035 ; 10.3389/fncom.2020.00035 |
| 通讯作者 | Hu, Zhanyi(huzy@nlpr.ia.ac.cn) |
| 英文摘要 | Recently DCNN (Deep Convolutional Neural Network) has been advocated as a general and promising modeling approach for neural object representation in primate inferotemporal cortex. In this work, we show that some inherent non-uniqueness problem exists in the DCNN-based modeling of image object representations. This non-uniqueness phenomenon reveals to some extent the theoretical limitation of this general modeling approach, and invites due attention to be taken in practice.; Recently DCNN (Deep Convolutional Neural Network) has been advocated as a general and promising modeling approach for neural object representation in primate inferotemporal cortex. In this work, we show that some inherent non-uniqueness problem exists in the DCNN-based modeling of image object representations. This non-uniqueness phenomenon reveals to some extent the theoretical limitation of this general modeling approach, and invites due attention to be taken in practice. |
| WOS关键词 | PYRAMIDAL NEURONS ; PYRAMIDAL NEURONS ; VISUAL RESPONSES ; INFORMATION ; STATISTICS ; VISUAL RESPONSES ; INFORMATION ; STATISTICS |
| 资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDB32070100] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB32070100] ; National Natural Science Foundation of China[61991423] ; National Natural Science Foundation of China[U1805264] ; National Natural Science Foundation of China[61573359] ; National Natural Science Foundation of China[61421004] ; National Natural Science Foundation of China[61991423] ; National Natural Science Foundation of China[U1805264] ; National Natural Science Foundation of China[61573359] ; National Natural Science Foundation of China[61421004] |
| WOS研究方向 | Mathematical & Computational Biology ; Mathematical & Computational Biology ; Neurosciences & Neurology ; Neurosciences & Neurology |
| 语种 | 英语 ; 英语 |
| WOS记录号 | WOS:000537211000001 ; WOS:000537211000001 |
| 出版者 | FRONTIERS MEDIA SA ; FRONTIERS MEDIA SA |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/39520]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_机器人视觉团队 |
| 通讯作者 | Hu, Zhanyi |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 3.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai, Peoples R China |
| 推荐引用方式 GB/T 7714 | Dong, Qiulei,Liu, Bo,Hu, Zhanyi. Non-uniqueness Phenomenon of Object Representation in Modeling IT Cortex by Deep Convolutional Neural Network (DCNN), Non-uniqueness Phenomenon of Object Representation in Modeling IT Cortex by Deep Convolutional Neural Network (DCNN)[J]. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, FRONTIERS IN COMPUTATIONAL NEUROSCIENCE,2020, 2020,14, 14:9, 9. |
| APA | Dong, Qiulei,Liu, Bo,&Hu, Zhanyi.(2020).Non-uniqueness Phenomenon of Object Representation in Modeling IT Cortex by Deep Convolutional Neural Network (DCNN).FRONTIERS IN COMPUTATIONAL NEUROSCIENCE,14,9. |
| MLA | Dong, Qiulei,et al."Non-uniqueness Phenomenon of Object Representation in Modeling IT Cortex by Deep Convolutional Neural Network (DCNN)".FRONTIERS IN COMPUTATIONAL NEUROSCIENCE 14(2020):9. |
入库方式： OAI收割
来源：自动化研究所
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