Development of a cortical visual neuroprosthesis for the blind: the relevance of neuroplasticity
Abstract
Clinical applications such as artificial vision require extraordinary, diverse, lengthy and intimate collaborations among basic scientists, engineers and clinicians. In this review, we present the state of research on a visual neuroprosthesis designed to interface with the occipital visual cortex as a means through which a limited, but useful, visual sense could be restored in profoundly blind individuals. We review the most important physiological principles regarding this neuroprosthetic approach and emphasize the role of neural plasticity in order to achieve desired behavioral outcomes. While full restoration of fine detailed vision with current technology is unlikely in the immediate near future, the discrimination of shapes and the localization of objects should be possible allowing blind subjects to navigate in a unfamiliar environment and perhaps even to read enlarged text. Continued research and development in neuroprosthesis technology will likely result in a substantial improvement in the quality of life of blind and visually impaired individuals.
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In response to the loss of vision, brain areas normally devoted to the processing of visual information are recruited to process tactile and auditory information and even cognitive functions such as verbal memory and speech processing.
“In response to the loss of vision, brain areas normally devoted to the processing of visual information are recruited to process tactile and auditory information and even cognitive functions such as verbal memory and speech processing (Fernandez et al., 2005; Gilbert et al., 2009; Legge and Chung, 2016; Beyeler et al., 2017; Singh et al., 2018; Castaldi et al., 2020).”
From Toward Long-Term Communication With the Brain in the Blind by Intracortical Stimulation: Challenges and Future Prospects (2020) · cites this paper as Fernandez et al., 2005
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Chronic Implantation of Newly Developed Suprachoroidal-Transretinal Stimulation Prosthesis in Dogs
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Self-citationHigh-amplitude electrical stimulation can reduce elicited neuronal activity in visual prosthesis
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PDMS-CNT composite for soft bioelectronic neuronal implants
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Self-citationMartínez-Álvarez, A., Crespo-Cano, R., Díaz-Tahoces, A., Cuenca-Asensi, S., Ferrández Vicente, J. M., & Fernández, E. (2016) · International Journal of Neural Systems · doi:10.1142/s0129065716500210 · Cited by 17 · see citing works
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Behavioral Time Course of Microstimulation in Cortical Area MT
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An Atypical Presentation of Visual Hallucinatory Experiences Following Prolonged Blindness*
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Neuro-technical interfaces to the central nervous system
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Self-citationCOMPUTER-CONTROLLED NEUROSTIMULATION FOR A VISUAL IMPLANT
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Artificial Neural Networks and Retinal Ganglion Cell Responses
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Self-citationBionic Eye and Retinitis Pigmentosa
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Self-citationComputer Aids for Visual Neuroprosthetic Devices
Romero, S. F., Morillas, C. A., Carrascosa, J. P. C., Pelayo, F. J., Prieto, A., & Fernández, E. (2008) · Communications in computer and information science · doi:10.1007/978-3-540-92219-3_7 · Cited by 2 · see citing works
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Ultra wideband for wireless real-time monitoring of neural signals
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Visual neuroprosthesis: present and future perspectives
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Development of a cortical visual neuroprosthesis for the blind: Replacing the role of the retina
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Self-citationA Feature Selection Algorithm for the Regularization of Neuron Models
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Visual Neuroprosthesis: The Relevance of Plasticity
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Self-citationVisual rehabilitation strategies based on brain computer interface
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Perceiving Electrical Stimulation of Identified Human Visual Areas
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Retina-Implantate: aktueller Stand des „Artificial Vision“
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Self-citationGhazanfari, S., Nasrabadi, A. M., & Firoozabadi, M. (2012) · National and International Iranian Conference on Biomedical Engineering (ICBME) · doi:10.1109/icbme.2012.6519658
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Self-citationSIMULATION OF THE RETINA: A TOOL FOR VISUAL PROSTHESES
Durette, B., Hérault, J., & Alleysson, D. (2010) · International Journal of Image and Graphics · doi:10.1142/s0219467810003949
Entorno hardware/software para experimentación con neuroprótesis visuales
García, R., & Francisco, S. (2011)
A Feature Selection Algorithm for the Regularization of Neuron Models
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Replicating the Role of the Human Retina for a Cortical Visual Neuroprosthesis
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Self-citationVisual Prosth 41. Visual Prostheses
Fernández, E., & Hoffmann, K. (2011)
Self-citationCurrent Advances in the Design of Retinal and Cortical Visual Prostheses
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Lešták, J. (2020) · American Journal of Biomedical Science & Research · doi:10.34297/ajbsr.2020.08.001301
Visual Prosthesis, Cortical Devices
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Self-citationReplicating the Role of the Human Retina for a Cortical Visual Neuroprosthesis
Romero, S. F., Morillas, C. A., Martínez-Álvarez, A., del Pino, B., Pelayo, F. J., & Fernández, E. (2013) · IGI Global eBooks · doi:10.4018/978-1-4666-3994-2.ch075
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- Authors
- Fernández, E., Pelayo, F., Romero, S., Bongard, M., Marin, C., Alfaro, A., & Merabet, L.
- Affiliations
- Universitat de Miguel Hernández d'Elx (ES)
- Universidad de Granada (ES)
- Venue
- Journal of Neural Engineering
- Publisher
- IOP Publishing
- Published
- 2005-11-29
- Volume
- 2
- Issue
- 4
- Pages
- R1-R12
- ISSN
- 1741-2552 (ISSN-L)
- 1741-2560
- OpenAlex
- W2063850540
- Cited by
- 105
- References
- 113
- Citations by year
- 2025: 1 · 2023: 1 · 2022: 7 · 2021: 3 · 2020: 3 · 2019: 3 · 2018: 3 · 2017: 3 · 2016: 4 · 2015: 7 · 2014: 6 · 2013: 4 · 2012: 8
- FWCI
- 0.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Neural Engineering (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Utah
- 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 › EEG and Brain-Computer Interfaces
- Keywords
- cortical visual prosthesis, neuroplasticity, blindness, vision restoration, shape discrimination, object localization, navigation, visually impaired people
- MeSH terms
- Artificial Intelligence, Blindness, Electric Stimulation Therapy, Humans, Neuronal Plasticity, Optic Nerve, Prosthesis Design, Retinal Ganglion Cells, Visual Cortex, Prostheses and Implants
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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