【作者单位】Affiliations 1 Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou 510631, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China. 2 Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou 510631, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China; Plateau Brain Science Research Center, South China Normal University, Guangzhou 510631, China; Plateau Brain Science Research Center, Tibet University, Lhasa 850000, China. Electronic address: lim@scnu.edu.cn. 3 Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou 510631, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China; Plateau Brain Science Research Center, South China Normal University, Guangzhou 510631, China; Plateau Brain Science Research Center, Tibet University, Lhasa 850000, China. Electronic address: delong.zhang@m.scnu.edu.cn.
【年份】2022
【卷号】Vol.154
【页码】31-42
【ISSN】1879-2782
【关键词】Deep neural networks Early visual areas Encoding models Ground cognition Neural style transfer Representational similarity analysis.
【摘要】 Using deep neural networks as models to explore the biological brain is controversial, which is mainly due to the impenetrability of DNNs. Inspired by neural style transfer, we circumvented this problem by using deep features that were given a clear...
