Visual Feature Encoding

Visual Feature Encoding is a neurocomputational process in the primary visual cortex that represents elementary visual stimuli such as orientation, spatial frequency, and color through specialized neuronal response properties, distinguishing it from higher-level perceptual representations by its reliance on localized, bottom-up sensory input.

593

Publications

52.9K

Citations

1.8K

Authors

669

Institutions

Publications per year

2017–2026

231

Authors

1.8K

  1. YK
    Yukiyasu Kamitani

    Kyoto University, Japan

    10 publications · 946 citations

    10

    h-index

  2. YX
    Yaoda Xu

    Yale University, United States

    9 publications · 688 citations

    9

    h-index

  3. WP
    William Prinzmetal

    University of California, Berkeley, United States

    6 publications · 858 citations

    6

    h-index

  4. JT
    John T. Serences

    University of California San Diego, United States

    4 publications · 703 citations

    4

    h-index

  5. PC
    Patrick Cavanagh

    Harvard University, United States

    4 publications · 355 citations

    4

    h-index

1–5 of 1.8K

Venues

  1. Journal of Neuroscience

    31 publications · 4.1K citations

    27

    h-index

  2. NeuroImage

    31 publications · 2.1K citations

    26

    h-index

  3. arXiv (Cornell University)

    Repository · 20 publications · 762 citations

    16

    h-index

  4. Cerebral Cortex

    13 publications · 950 citations

    13

    h-index

  5. 12

    h-index

1–5