中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Predictive Coding Theory inspired brain informer model for deciphering mental states across subjects

文献类型:期刊论文

作者Yan, Chao-Gan; Wang, Zi-Han
刊名INTERNATIONAL JOURNAL OF PSYCHOLOGY
出版日期2024-08-01
卷号59页码:629-629
ISSN号0020-7594
收录类别SCI
WOS研究方向Psychology
语种英语
WOS记录号WOS:001319547703195
出版者JOHN WILEY & SONS LTD
源URL[http://ir.psych.ac.cn/handle/311026/49320]  
专题心理研究所_认知与发展心理学研究室
作者单位Chinese Acad Sci, Inst Psychol, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Yan, Chao-Gan,Wang, Zi-Han. Predictive Coding Theory inspired brain informer model for deciphering mental states across subjects[J]. INTERNATIONAL JOURNAL OF PSYCHOLOGY,2024,59:629-629.
APA Yan, Chao-Gan,&Wang, Zi-Han.(2024).Predictive Coding Theory inspired brain informer model for deciphering mental states across subjects.INTERNATIONAL JOURNAL OF PSYCHOLOGY,59,629-629.
MLA Yan, Chao-Gan,et al."Predictive Coding Theory inspired brain informer model for deciphering mental states across subjects".INTERNATIONAL JOURNAL OF PSYCHOLOGY 59(2024):629-629.

入库方式: OAI收割

来源:心理研究所

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