An fMRI Dataset for Concept Representation with Semantic Feature Annotations
文献类型：期刊论文
| 作者 | Wang, Shaonan3,4 ; Zhang, Yunhao3,4; Zhang, Xiaohan3,4; Sun, Jingyuan3,4; Lin, Nan1,2; Zhang, Jiajun3,4; Zong, Chengqing3,4
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| 刊名 | SCIENTIFIC DATA
 |
| 出版日期 | 2022-11-24 |
| 卷号 | 9期号:1页码:9 |
| DOI | 10.1038/s41597-022-01840-2 |
| 通讯作者 | Wang, Shaonan(shaonan.wang@nlpr.ia.ac.cn) |
| 英文摘要 | The neural representation of concepts is a focus of many cognitive neuroscience studies. Prior works studying concept representation with neural imaging data have been largely limited to concrete concepts. The use of relatively small and constrained sets of stimuli leaves open the question of whether the findings can generalize other concepts. We share an fMRI dataset in which 11 participants thought of 672 individual concepts, including both concrete and abstract concepts. The concepts were probed using words paired with images in which the words were selected to cover a wide range of semantic categories. Furthermore, according to the componential theories of concept representation, we collected the 54 semantic features of the 672 concepts comprising sensory, motor, spatial, temporal, affective, social, and cognitive experiences by crowdsourcing annotations. The quality assessment results verify this as a high-quality neuroimaging dataset. Such a dataset is well suited to study how the brain represents different semantic features and concepts, creating the essential condition to investigate the neural representation of individual concepts. |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| 出版者 | NATURE PORTFOLIO |
| WOS记录号 | WOS:000887909800001 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/50776]  |
| 专题 | 模式识别国家重点实验室_自然语言处理 |
| 通讯作者 | Wang, Shaonan |
| 作者单位 | 1.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Beijing, Peoples R China 4.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Shaonan,Zhang, Yunhao,Zhang, Xiaohan,et al. An fMRI Dataset for Concept Representation with Semantic Feature Annotations[J]. SCIENTIFIC DATA,2022,9(1):9. |
| APA | Wang, Shaonan.,Zhang, Yunhao.,Zhang, Xiaohan.,Sun, Jingyuan.,Lin, Nan.,...&Zong, Chengqing.(2022).An fMRI Dataset for Concept Representation with Semantic Feature Annotations.SCIENTIFIC DATA,9(1),9. |
| MLA | Wang, Shaonan,et al."An fMRI Dataset for Concept Representation with Semantic Feature Annotations".SCIENTIFIC DATA 9.1(2022):9. |
入库方式： OAI收割
来源：自动化研究所
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