Signal Sharpening

Signal Sharpening is a computational mechanism within the broader class of perceptual processing strategies that enhances the precision of neural signals by differentially amplifying dominant inputs while suppressing weaker, adjacent ones, thereby increasing contrast and spatial resolution in sensory representation.

159

Publications

8.1K

Citations

527

Authors

243

Institutions

Publications per year

2017–2026

35

Authors

527

  1. MÖ
    Magnús Ö. Úlfarsson

    University of Iceland, Iceland

    3 publications · 79 citations

    3

    h-index

  2. ST
    Stephen T. Hammett

    Royal Holloway University of London, United Kingdom

    3 publications · 82 citations

    3

    h-index

  3. GJ
    Gordana Jovanović Doleček

    National Institute of Astrophysics, Optics and Electronics, Mexico

    3 publications · 51 citations

    3

    h-index

  4. JR
    Jóhannes R. Sveinsson

    University of Iceland, Iceland

    3 publications · 79 citations

    3

    h-index

  5. BF
    Brian Funt

    Simon Fraser University, Canada

    3 publications · 123 citations

    3

    h-index

1–5 of 527

Venues

  1. 7

    h-index

  2. NeuroImage

    5 publications · 318 citations

    5

    h-index

  3. 5

    h-index

  4. Vision Research

    5 publications · 280 citations

    5

    h-index

  5. Journal of Neuroscience

    5 publications · 377 citations

    5

    h-index

1–5