Nonlinear Psychophysical Models

Nonlinear Psychophysical Models is a class of mathematical frameworks in psychophysics that characterize the relationship between physical stimulus intensity and perceptual response through nonlinear functions, distinguishing it from linear models by explicitly accounting for saturating, thresholding, or sigmoidal response behaviors observed in sensory and cognitive processing.

116

Publications

11.5K

Citations

264

Authors

138

Institutions

Publications per year

2017–2026

9

Authors

264

  1. SS
    S. S. Stevens

    Harvard University, United States

    4 publications · 2K citations

    4

    h-index

  2. NZ
    Nanyin Zhang

    Pennsylvania State University, United States

    2 publications · 145 citations

    2

    h-index

  3. HD
    H. D. Landahl

    University of Chicago, United States

    2 publications · 89 citations

    2

    h-index

  4. PN
    Peter Neri

    University of Aberdeen, United Kingdom

    2 publications · 134 citations

    2

    h-index

  5. PC
    Praveen Cyriac

    Universitat Pompeu Fabra, Spain

    2 publications · 52 citations

    2

    h-index

1–5 of 264

Venues

  1. Vision Research

    8 publications · 390 citations

    8

    h-index

  2. The Journal of the Acoustical Society of America

    JASA · 7 publications · 457 citations

    7

    h-index

  3. Psychological Review

    6 publications · 738 citations

    6

    h-index

  4. Journal of Vision

    5 publications · 277 citations

    5

    h-index

  5. Perception & Psychophysics

    4 publications · 350 citations

    4

    h-index

1–5