Adaptive Threshold Estimation
Adaptive Threshold Estimation is a computational method within visual perception modeling that dynamically determines detection thresholds by adjusting to contextual or stimulus-specific variations, distinguishing itself from static threshold approaches through its capacity to incorporate real-time environmental or neural feedback.
164
Publications
9.4K
Citations
494
Authors
222
Institutions
Publications per year
2017–2026
53
Parents
164
Thresholds for the perception of whole body angular movement about a vertical axis.
A. J. Benson, E. C. Hutt, S. F. Brown · PubMed · 1989 · 292 citations
Medicine, Neuroscience, Psychology +17
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Max Planck Institute for Human Cognitive and Brain Sciences, Germany
2 publications · 94 citations
2
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University of North Carolina at Chapel Hill, United States
2 publications · 40 citations
2
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1–5 of 494
222
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
10 publications
174 citations
Amity University
Noida, India
3 h-index
8 publications
771 citations

Xi'an Jiaotong University
Xi'an, China
3 h-index
13 publications
346 citations

University of Electronic Science and Technology of China
Chengdu, China
3 h-index
12 publications
363 citations

University of Manchester
Manchester, United Kingdom
3 h-index
9 publications
553 citations
University of California, Irvine
Irvine, United States
3 h-index
4 publications
288 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
7 publications
241 citations
Boys Town National Research Hospital
Omaha, United States
2 h-index
5 publications
80 citations
1–8 of 222
JASA · 5 publications · 186 citations
5
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4 publications · 78 citations
4
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3 publications · 1.5K citations
3
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Repository · 3 publications · 378 citations
3
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2 publications · 27 citations
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