Feature-based Attention
Feature-Based Attention is a cognitive mechanism within the domain of visual attention that selectively enhances the processing of specific perceptual features, such as color, orientation, or motion, across the visual field, thereby prioritizing the neural representation of attended features relative to unattended ones.
2.9K
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8.7K
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2017–2026
1.8K
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A feature-integration theory of attention
Anne Treisman, Garry A. Gelade · Cognitive Psychology · 1980 · 12.4K citations
Medicine, Psychology, Vision Science +12
Coordinate Attention for Efficient Mobile Network Design
Qibin Hou, Daquan Zhou, Jiashi Feng · 2021 · 5.7K citations
Visual search and stimulus similarity.
John S. Duncan, Glyn W. Humphreys · Psychological Review · 1989 · 3.6K citations
Medicine, Psychology, Vision Science +17
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Chinese Academy of Sciences
Beijing, China
42 h-index
265 publications
18.8K citations
University of Chinese Academy of Sciences
Beijing, China
33 h-index
156 publications
12.9K citations
Tsinghua University
Beijing, China
30 h-index
126 publications
18K citations

Peking University
Beijing, China
29 h-index
90 publications
12.7K citations
University of California San Diego
San Diego, United States
27 h-index
52 publications
11.4K citations

Xidian University
Xi'an, China
26 h-index
125 publications
5.4K citations

Shanghai Jiao Tong University
Shanghai, China
25 h-index
144 publications
7.1K citations

Northwestern Polytechnical University
Xi'an, China
25 h-index
109 publications
8.7K citations
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131 publications · 14.4K citations
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120 publications · 8.4K citations
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Repository · 119 publications · 6.8K citations
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54 publications · 6.1K citations
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Conference · 49 publications · 5.4K citations
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