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

Authors

494

  1. BS
    Bong Seok Kim

    Jeju National University, South Korea

    2 publications · 49 citations

    2

    h-index

  2. BA
    Barbara Anne Dosher

    University of California, Irvine, United States

    2 publications · 146 citations

    2

    h-index

  3. PE
    Peter E. Keller

    Western Sydney University, Australia

    2 publications · 94 citations

    2

    h-index

  4. NP
    Nadine Pecenka

    Max Planck Institute for Human Cognitive and Brain Sciences, Germany

    2 publications · 94 citations

    2

    h-index

  5. JW
    Joseph W. Hall

    University of North Carolina at Chapel Hill, United States

    2 publications · 40 citations

    2

    h-index

1–5 of 494

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 5 publications · 186 citations

    5

    h-index

  2. Multimedia Tools and Applications

    4 publications · 78 citations

    4

    h-index

  3. 3

    h-index

  4. PubMed

    Repository · 3 publications · 378 citations

    3

    h-index

  5. Ear and Hearing

    2 publications · 27 citations

    3

    h-index

1–5