Retinal Network Computation

Retinal Network Computation is a theoretical framework that characterizes the processing of visual information by interconnected retinal neurons through specific synaptic and circuit-level operations to transform light-evoked signals into coded neural outputs.

30

Publications

1.6K

Citations

85

Authors

42

Institutions

Publications per year

2017–2026

9

Authors

85

  1. BR
    Botond Roska

    Friedrich Miescher Institute, Switzerland

    3 publications · 137 citations

    3

    h-index

  2. DB
    D. Bálya

    Hungarian Academy of Sciences, Hungary

    2 publications · 114 citations

    2

    h-index

  3. TM
    Takashige Miyashita

    Toyohashi University of Technology, Japan

    2 publications · 45 citations

    2

    h-index

  4. MO
    Masahiro Ohtani

    University of Fukui, Japan

    2 publications · 45 citations

    2

    h-index

  5. KN
    Kimihiro Nishio

    Toyohashi University of Technology, Japan

    2 publications · 45 citations

    2

    h-index

1–5 of 85

Venues

  1. 3

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 27 citations

    2

    h-index

  3. Optical Review

    2 publications · 45 citations

    2

    h-index

  4. Neuron

    2 publications · 224 citations

    2

    h-index

  5. PLoS ONE

    2 publications · 36 citations

    2

    h-index

1–5