Retinal Prosthesis
Abstract
▪ Abstract Retinal prostheses represent the best near-term hope for individuals with incurable, blinding diseases of the outer retina. On the basis of the electrical activation of nerves, prototype retinal prostheses have been tested in blind humans and have demonstrated the capability to elicit the sensation of light and to give test subjects the ability to detect motion. To improve the visual function in implant recipients, a more sophisticated device is required. Simulations suggest that 600–1000 pixels will be required to provide visual function such as face recognition and reading. State-of-the-art implantable stimulator technology cannot produce such a device, which mandates the advancement of the state of the art in areas such as analog microelectronics, wireless power and data transfer, packaging, and stimulating electrodes.
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Dual unit visual intraocular prosthesis
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Self-citationHermeticity Testing Of Glass-silicon Packages With On Chip Feed Throughs
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IC-Integrated Flexible Shear-Stress Sensor Skin
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Definition of the Geometric Area of a Microelectrode Tip by Plasma Etching of Parylene
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Postoperative Electroanalgesia
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Ultralow-Power Electronics for Biomedical Applications
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The functional performance of the Argus II retinal prosthesis
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Powering implantable and ingestible electronics
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Regenerating optic pathways from the eye to the brain
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Scalable high lead-count parylene package for retinal prostheses
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Self-citationA Fully Intraocular High-Density Self-Calibrating Epiretinal Prosthesis
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Self-citationVisual prosthesis: interfacing stimulating electrodes with retinal neurons to restore vision.
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Semantic and structural image segmentation for prosthetic vision
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Neurolight: A Deep Learning Neural Interface for Cortical Visual Prostheses
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Contemporary approaches to visual prostheses
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Flexible Nerve Stimulation Electrode With Iridium Oxide Sputtered on Liquid Crystal Polymer
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End-to-end optimization of prosthetic vision
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The Layer 7 Cortical Interface: A Scalable and Minimally Invasive Brain–Computer Interface Platform
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Approaches to a cortical vision prosthesis: implications of electrode size and placement
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Self-citationNeural Activity Shaping in Visual Prostheses with Deep Learning
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- Authors
- Weiland, J. D., Liu, W., & Humayun, M. S.
- Affiliations
- University of Southern California (US)
- University of California, Santa Cruz (US)
- Venue
- Annual Review of Biomedical Engineering
- Publisher
- Annual Reviews
- Published
- 2005-08-15
- Volume
- 7
- Issue
- 1
- Pages
- 361-401
- ISSN
- 1523-9829 (ISSN-L)
- 1545-4274
- OpenAlex
- W4251992482
- Semantic Scholar
- d556c4d7ee6e67dde4d1bdf59f06cad88463f2d5
- Cited by
- 371
- References
- 121
- Citations by year
- 2026: 2 · 2025: 9 · 2024: 5 · 2023: 7 · 2022: 15 · 2021: 15 · 2020: 20 · 2019: 14 · 2018: 23 · 2017: 19 · 2016: 13 · 2015: 17 · 2014: 15 · 2013: 24 · 2012: 28
- FWCI
- 1.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Biomedical Engineering (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Retinal Development and Disorders
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Keywords
- retinal prosthesis, visual prosthesis, light perception, motion detection, face recognition (cognition), reading, pixel density, implantable stimulator, wireless power transfer, wireless data transmission, stimulating electrodes, retinal degeneration
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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