Retinal Prosthesis Signal Processing

Retinal Prosthesis Signal Processing is a computational framework that transforms visual input into electrical stimulation patterns specifically optimized for artificial retinal interfaces to restore functional vision in individuals with photoreceptor degeneration.

25

Publications

2.1K

Citations

115

Authors

44

Institutions

Publications per year

2017–2026

6

Authors

115

  1. JD
    James D. Weiland

    University of Southern California, United States

    5 publications · 1.4K citations

    5

    h-index

  2. MS
    Mark S. Humayun

    University of Southern California, United States

    5 publications · 1.4K citations

    5

    h-index

  3. NH
    Nigel H. Lovell

    UNSW Sydney, Australia

    3 publications · 37 citations

    3

    h-index

  4. PD
    Patrick Degenaar

    Newcastle University, United Kingdom

    2 publications · 67 citations

    2

    h-index

  5. GJ
    Gregg J. Suaning

    UNSW Sydney, Australia

    2 publications · 24 citations

    2

    h-index

1–5 of 115

Venues

  1. IEEE Transactions on Biomedical Engineering

    3 publications · 111 citations

    3

    h-index

  2. IEEE Journal of Solid-State Circuits

    2 publications · 349 citations

    2

    h-index

  3. Optical Materials Express

    1 publications · 44 citations

    1

    h-index

  4. ICT Express

    1 publications · 20 citations

    1

    h-index

  5. Neuron

    1 publications · 79 citations

    1

    h-index

1–5