Simulating prosthetic vision: I. Visual models of phosphenes
Open accessAbstract
With increasing research advances and clinical trials of visual prostheses, there is significant demand to better understand the perceptual and psychophysical aspects of prosthetic vision. In prosthetic vision a visual scene is composed of relatively large, isolated, spots of light so-called "phosphenes", very much like a magnified pictorial print. The utility of prosthetic vision has been studied by investigators in the form of virtual-reality visual models (simulations) of prosthetic vision administered to normally sighted subjects. In this review, the simulations from these investigations are examined with respect to how they visually render the phosphenes and the virtual-reality apparatus involved. A comparison is made between these simulations and the actual descriptions of phosphenes reported from human trials of visual prosthesis devices. For the results from these simulation studies to be relevant to the experience of visual prosthesis recipients, it is important that, the simulated phosphenes must be consistent with the descriptions from human trials. A standardized simulation and reporting framework is proposed so that future simulations may be configured to be more realistic to the experience of implant recipients, and the simulation parameters from different investigators may be more readily extracted, and study results more fittingly compared.
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Many computational models of prosthetic vision assume a linear relationship between stimulus parameters (e.g. amplitude) and phosphene appearance (e.g. brightness).
“Many computational models of prosthetic vision (Chen et al 2009, Perez-Yus et al 2017, Sanchez-Garcia et al 2019, Granley and Beyeler 2021) assume a linear relationship between stimulus parameters (e.g. amplitude) and phosphene appearance (e.g. brightness).”
From Axonal stimulation affects the linear summation of single-point perception in three Argus II users (2024) · cites this paper as Chen et al 2009
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References 102 · Cited by 172
Research works printed but not linked: 5
- Brindley, G. S., & Rushton, D. N. (1974). Implanted stimulators of the visual cortex as visual prosthetic devices. Transactions of the American Academy of Ophthalmology and Octaryngology, 78, 741-745.
- Dowling, J., Boles, W., Maeder, A. (2005). Mobility assessment using simulated artificial human vision. In Computer vision and pattern recognition, 2005 IEEE computer society conference on.
- Hallum, L. E., Taubman, D., Suaning, G. J., Morley, J., Lovell, N. H. (2003). A filtering approach to artificial vision: a phosphene visual tracking task. In IFMBE proceedings, world congress on medical physics and biomedical engineering, August 24-29, Sydney.
- Sterling, T. D., & Weinkam, J. J. (1971). Preprocessing of sensed information for analysis and display. In T. D. Sterling, J. E. A. Bering, S. V. Pollack, & J. H. G. Vaughan (Eds.), Visual prosthesis: The interdisciplinary dialogue (pp. 145-156). New York and London: Academic Press.
- Wanet-defalgue, M. C., delbeke, J., Michaux, G., Vanlierde, A., Parrini, S., Veraart, C. (2000). A visual prosthesis based on electrical stimulation of the optic nerve. In T. Sinkjaer, D. Popovic, J. Struijik (Eds.), Proceedings of the 5th annual conference of the interational functional electrical stimulation society. Aalborg, Denmark, SMI.
- Authors
- Chen, S. C., Suaning, G. J., Morley, J. W., & Lovell, N. H.
- Affiliations
- UNSW Sydney (AU)
- Corresponding author
- Chen, Spencer C.
- Venue
- Vision Research
- Publisher
- Elsevier BV
- Published
- 2009-06
- Volume
- 49
- Issue
- 12
- Pages
- 1493-1506
- ISSN
- 0042-6989 (ISSN-L)
- OpenAlex
- W2034121241
- Cited by
- 172
- References
- 102
- Citations by year
- 2026: 11 · 2025: 11 · 2024: 8 · 2023: 11 · 2022: 14 · 2021: 11 · 2020: 6 · 2019: 8 · 2018: 12 · 2017: 11 · 2016: 6 · 2015: 8 · 2014: 10 · 2013: 14 · 2012: 12
- FWCI
- 0.89
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Vision Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Keywords
- visual prosthesis, phosphenes, prosthetic vision, virtual reality simulation, visual models, visual perception, psychophysics, retinal prosthesis
- MeSH terms
- Blindness, Electric Stimulation, Humans, Models, Neurological, Models, Psychological, Phosphenes, Psychophysics, User-Computer Interface, Visual Perception, Prostheses and Implants
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