Psychometric Function Estimation
Psychometric Function Estimation is the statistical modeling process that characterizes the relationship between a physical stimulus intensity and an observer's response probability in threshold detection tasks, distinguished by its use of parametric or non-parametric functions to estimate sensory or perceptual thresholds from behavioral data.
192
Publications
21.8K
Citations
391
Authors
190
Institutions
Publications per year
2017–2026
27
Parents
192
PsychoPy—Psychophysics software in Python
Jonathan W. Peirce · Journal of Neuroscience Methods · 2007 · 4.9K citations · Full text
1–5 of 192
391
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Max Planck Institute for Biological Cybernetics, Germany
5 publications · 3.4K citations
5
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1–5 of 391
190
Universidad Complutense de Madrid
Madrid, Spain
13 h-index
22 publications
782 citations
University of Florida
Gainesville, United States
8 h-index
16 publications
500 citations
University College London
London, United Kingdom
6 h-index
15 publications
1.1K citations
New York University
New York, United States
5 h-index
10 publications
1.4K citations
University of California, Davis
Davis, United States
5 h-index
6 publications
458 citations
University of California, Irvine
Irvine, United States
5 h-index
8 publications
309 citations
University of California, Berkeley
Berkeley, United States
4 h-index
6 publications
809 citations
University of Oxford
Oxford, United Kingdom
4 h-index
5 publications
5K citations
1–8 of 190
JASA · 30 publications · 1.6K citations
21
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18 publications · 1.6K citations
16
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8 publications · 3.3K citations
8
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7 publications · 299 citations
8
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7 publications · 1.3K citations
7
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