Feature-based Modulation
Feature-Based Modulation is a cognitive mechanism within the framework of attentional control that selectively enhances the processing of sensory inputs based on specific perceptual features, such as color, orientation, or motion direction, thereby biasing neural competition in favor of task-relevant attributes.
124
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6.9K
Citations
388
Authors
193
Institutions
Publications per year
2017–2026
51
Parents
124
Feature-based attention modulates feedforward visual processing
Weiwei Zhang, Steven J. Luck · Nature Neuroscience · 2008 · 337 citations
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University of California San Diego
San Diego, United States
6 h-index
11 publications
660 citations
New York University
New York, United States
6 h-index
15 publications
1.1K citations
Michigan State University
East Lansing, United States
4 h-index
9 publications
223 citations
Dartmouth College
Hanover, United States
4 h-index
9 publications
244 citations
University of Washington
Seattle, United States
4 h-index
8 publications
628 citations
Bernstein Center for Computational Neuroscience Göttingen
Göttingen, Germany
3 h-index
4 publications
133 citations
University of Southern California
Los Angeles, United States
3 h-index
5 publications
167 citations
German Primate Center
Göttingen, Germany
3 h-index
6 publications
178 citations
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16 publications · 484 citations
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8 publications · 226 citations
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JN · 7 publications · 287 citations
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Repository · 5 publications · 131 citations
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5 publications · 310 citations
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