Retinal Noise Analysis

Retinal Noise Analysis is a computational framework within retinal signal processing that characterizes the sources and impacts of stochastic variability in photoreceptor and neural responses, distinguishing itself by quantifying noise origins and their influence on visual signal fidelity across the retinal network.

28

Publications

1.7K

Citations

97

Authors

48

Institutions

Publications per year

2017–2026

7

Authors

97

  1. CT
    Charles T. Scialfa

    University of Calgary, Canada

    2 publications · 187 citations

    2

    h-index

  2. FR
    Fred Rieke

    University of Washington, United States

    2 publications · 252 citations

    2

    h-index

  3. BJ
    Brian J. Lyman

    Monell Chemical Senses Center, United States

    2 publications · 187 citations

    2

    h-index

  4. HB
    H. B. Barlow

    Physiological Society, United Kingdom

    2 publications · 568 citations

    2

    h-index

  5. DK
    Donald Kline

    University of Calgary, Canada

    2 publications · 187 citations

    2

    h-index

1–5 of 97

Venues

  1. Artificial Intelligence in Medicine

    AIM · 2 publications · 60 citations

    2

    h-index

  2. The Journal of Physiology

    2 publications · 77 citations

    2

    h-index

  3. Nature

    2 publications · 139 citations

    2

    h-index

  4. Psychology and Aging

    2 publications · 187 citations

    2

    h-index

  5. Journal of the Optical Society of America

    JOSA · 1 publications · 448 citations

    1

    h-index

1–5