Psychometric Function Modeling
Psychometric Function Modeling is a statistical modeling approach that characterizes the relationship between a physical stimulus intensity and an observer's behavioral response probability, specifically by specifying the functional form, parameters, and error structure that describe the sigmoidal transition from chance to maximal performance in a perceptual or cognitive task.
214
Publications
20.2K
Citations
465
Authors
242
Institutions
Publications per year
2017–2026
33
Parents
214
PsychoPy—Psychophysics software in Python
Jonathan W. Peirce · Journal of Neuroscience Methods · 2007 · 4.9K citations · Full text
1–5 of 214
465
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Max Planck Institute for Biological Cybernetics, Germany
4 publications · 936 citations
4
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4
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1–5 of 465
242
Universidad Complutense de Madrid
Madrid, Spain
9 h-index
14 publications
566 citations
University College London
London, United Kingdom
8 h-index
17 publications
1.1K citations
University of Florida
Gainesville, United States
8 h-index
13 publications
725 citations
New York University
New York, United States
6 h-index
12 publications
1.5K citations
University of California, Davis
Davis, United States
5 h-index
6 publications
461 citations
University of California, Irvine
Irvine, United States
5 h-index
9 publications
421 citations
Ludwig-Maximilians-Universität München
Munich, Germany
4 h-index
4 publications
124 citations
Medical University of South Carolina
Charleston, United States
4 h-index
16 publications
458 citations
1–8 of 242
JASA · 35 publications · 1.9K citations
23
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21 publications · 2.3K citations
17
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9 publications · 1.4K citations
9
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7 publications · 427 citations
7
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6 publications · 332 citations
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