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
Parents
25
Visual perception in a blind subject with a chronic microelectronic retinal prosthesis
Mark S. Humayun, James D. Weiland, Gildo Y Fujii et al. · Vision Research · 2003 · 851 citations
An Integrated 256-Channel Epiretinal Prosthesis
Kuan‐Fu Chen, Zhi Yang, Linh Hoang et al. · IEEE Journal of Solid-State Circuits · 2010 · 261 citations
Engineering, Biomedical Engineering, Electrical Engineering +17
A Complete 256-Electrode Retinal Prosthesis Chip
Nhan Tran, Shun Bai, Jiawei Yang et al. · IEEE Journal of Solid-State Circuits · 2014 · 88 citations
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44
University of Southern California
Los Angeles, United States
4 h-index
16 publications
6K citations

UNSW Sydney
Sydney, Australia
3 h-index
13 publications
161 citations

Data61
Sydney, Australia
3 h-index
4 publications
202 citations
Stanford University
Stanford, United States
3 h-index
14 publications
1.6K citations

The University of Melbourne
Melbourne, Australia
2 h-index
16 publications
1.1K citations
Retina Institute
St Louis, United States
2 h-index
8 publications
4.3K citations
University of California, Santa Cruz
Santa Cruz, United States
2 h-index
5 publications
1.1K citations

Imperial College London
London, United Kingdom
2 h-index
7 publications
182 citations
1–8 of 44
3 publications · 111 citations
3
h-index
2 publications · 349 citations
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1 publications · 44 citations
1
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1 publications · 20 citations
1
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1 publications · 79 citations
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