Distinguishing the roles of edge, color, and other surface information in basic and superordinate scene representation
The human brain possesses a remarkable ability to recognize scenes depicted in line drawings, despite that these drawings contain only edge information. It remains unclear how the brain uses this information alongside surface information in scene recognition. Here, we combined electroencephalogram (...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-04-01
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| Series: | NeuroImage |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811925001028 |
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| author | Liansheng Yao Qiufang Fu Chang Hong Liu Jianyong Wang Zhang Yi |
| author_facet | Liansheng Yao Qiufang Fu Chang Hong Liu Jianyong Wang Zhang Yi |
| author_sort | Liansheng Yao |
| collection | DOAJ |
| description | The human brain possesses a remarkable ability to recognize scenes depicted in line drawings, despite that these drawings contain only edge information. It remains unclear how the brain uses this information alongside surface information in scene recognition. Here, we combined electroencephalogram (EEG) and multivariate pattern analysis (MVPA) methods to distinguish the roles of edge, color, and other surface information in scene representation at the basic category level and superordinate naturalness level over time. The time-resolved decoding results indicated that edge information in line drawings is both sufficient and more effective than in color photographs and grayscale images at the superordinate naturalness level. Meanwhile, color and other surface information are exclusively involved in neural representation at the basic category level. The time generalization analysis further revealed that edge information is crucial for representation at both levels of abstraction. These findings highlight the distinct roles of edge, color, and other surface information in dynamic neural scene processing, shedding light on how the human brain represents scene information at different levels of abstraction. |
| format | Article |
| id | doaj-art-4f45a1d1073f4742a22fecff5173c0b7 |
| institution | OA Journals |
| issn | 1095-9572 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj-art-4f45a1d1073f4742a22fecff5173c0b72025-08-20T02:26:08ZengElsevierNeuroImage1095-95722025-04-0131012110010.1016/j.neuroimage.2025.121100Distinguishing the roles of edge, color, and other surface information in basic and superordinate scene representationLiansheng Yao0Qiufang Fu1Chang Hong Liu2Jianyong Wang3Zhang Yi4State Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, ChinaState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; Corresponding author at: Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing 100101, China.Department of Psychology, Bournemouth University, Fern Barrow, Poole, UKMachine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, ChinaMachine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, ChinaThe human brain possesses a remarkable ability to recognize scenes depicted in line drawings, despite that these drawings contain only edge information. It remains unclear how the brain uses this information alongside surface information in scene recognition. Here, we combined electroencephalogram (EEG) and multivariate pattern analysis (MVPA) methods to distinguish the roles of edge, color, and other surface information in scene representation at the basic category level and superordinate naturalness level over time. The time-resolved decoding results indicated that edge information in line drawings is both sufficient and more effective than in color photographs and grayscale images at the superordinate naturalness level. Meanwhile, color and other surface information are exclusively involved in neural representation at the basic category level. The time generalization analysis further revealed that edge information is crucial for representation at both levels of abstraction. These findings highlight the distinct roles of edge, color, and other surface information in dynamic neural scene processing, shedding light on how the human brain represents scene information at different levels of abstraction.http://www.sciencedirect.com/science/article/pii/S1053811925001028Scene representationEdge informationSurface informationBasic level of categorySuperordinate level of naturalness |
| spellingShingle | Liansheng Yao Qiufang Fu Chang Hong Liu Jianyong Wang Zhang Yi Distinguishing the roles of edge, color, and other surface information in basic and superordinate scene representation NeuroImage Scene representation Edge information Surface information Basic level of category Superordinate level of naturalness |
| title | Distinguishing the roles of edge, color, and other surface information in basic and superordinate scene representation |
| title_full | Distinguishing the roles of edge, color, and other surface information in basic and superordinate scene representation |
| title_fullStr | Distinguishing the roles of edge, color, and other surface information in basic and superordinate scene representation |
| title_full_unstemmed | Distinguishing the roles of edge, color, and other surface information in basic and superordinate scene representation |
| title_short | Distinguishing the roles of edge, color, and other surface information in basic and superordinate scene representation |
| title_sort | distinguishing the roles of edge color and other surface information in basic and superordinate scene representation |
| topic | Scene representation Edge information Surface information Basic level of category Superordinate level of naturalness |
| url | http://www.sciencedirect.com/science/article/pii/S1053811925001028 |
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