Spatial Frequency Coding
Spatial Frequency Coding is a computational modeling framework that specifies how visual information is represented in terms of sinusoidal grating components distinguished by their cycle density per unit visual angle, thereby enabling selective processing of fine and coarse spatial details in hierarchical neural systems.
960
Publications
86.3K
Citations
2K
Authors
674
Institutions
Publications per year
2017–2026
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University of California, Berkeley
Berkeley, United States
29 h-index
70 publications
13.6K citations
New York University
New York, United States
22 h-index
66 publications
5.6K citations

McGill University
Montreal, Canada
18 h-index
48 publications
4.8K citations
University of California, Los Angeles
Los Angeles, United States
17 h-index
28 publications
2.1K citations

Centre National de la Recherche Scientifique
Paris, France
16 h-index
41 publications
3K citations

Australian National University
Canberra, Australia
16 h-index
41 publications
3.7K citations
University of Cambridge
Cambridge, United Kingdom
15 h-index
25 publications
6.3K citations
University of Houston
Houston, United States
15 h-index
40 publications
1.6K citations
1–8 of 674
189 publications · 15.7K citations
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38 publications · 4.5K citations
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JN · 52 publications · 4.1K citations
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33 publications · 6.7K citations
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51 publications · 3.5K citations
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