Signal Sharpening
Signal Sharpening is a computational mechanism within the broader class of perceptual processing strategies that enhances the precision of neural signals by differentially amplifying dominant inputs while suppressing weaker, adjacent ones, thereby increasing contrast and spatial resolution in sensory representation.
159
Publications
8.1K
Citations
527
Authors
243
Institutions
Publications per year
2017–2026
35
Parents
159
1–5 of 159
527
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National Institute of Astrophysics, Optics and Electronics, Mexico
3 publications · 51 citations
3
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3
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3
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1–5 of 527
243
University of California, Santa Barbara
Santa Barbara, United States
4 h-index
9 publications
206 citations
Stanford University
Stanford, United States
4 h-index
7 publications
498 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
3 publications
98 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
11 publications
652 citations
University of Iceland
Reykjavik, Iceland
3 h-index
10 publications
253 citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
4 publications
368 citations

Xidian University
Xi'an, China
3 h-index
14 publications
400 citations
Harvard University
Cambridge, United States
3 h-index
6 publications
183 citations
1–8 of 243
7 publications · 291 citations
7
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5 publications · 318 citations
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5 publications · 103 citations
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5 publications · 280 citations
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5 publications · 377 citations
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