Computational Models Of Sensory Processing
Computational Models of Sensory Processing is a computational framework that formally characterizes how sensory inputs are transformed and interpreted by neural systems through algorithmic and mathematical representations of perceptual mechanisms.
432
Publications
39.7K
Citations
917
Authors
401
Institutions
Publications per year
2017–2026
74
Parents
432
1–5 of 432
917
7
h-index
5
h-index
4
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4
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Scuola Internazionale Superiore di Studi Avanzati, Italy
3 publications · 83 citations
3
h-index
1–5 of 917
401
Massachusetts Institute of Technology
Cambridge, United States
12 h-index
24 publications
1.5K citations
University of California San Diego
San Diego, United States
11 h-index
27 publications
1.7K citations
University College London
London, United Kingdom
10 h-index
16 publications
5.6K citations
Hebrew University of Jerusalem
Jerusalem, Israel
8 h-index
10 publications
610 citations
University of Oxford
Oxford, United Kingdom
8 h-index
11 publications
660 citations

University of Rochester
Rochester, United States
8 h-index
15 publications
910 citations
New York University
New York, United States
7 h-index
14 publications
2.3K citations
Princeton University
Princeton, United States
7 h-index
14 publications
1.6K citations
1–8 of 401
11 publications · 658 citations
11
h-index
11 publications · 927 citations
11
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10 publications · 282 citations
10
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10 publications · 6.3K citations
10
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9 publications · 399 citations
9
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1–5