The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Pattern Recognition with the Optic Nerve Visual Prosthesis
Abstract
A volunteer with retinitis pigmentosa and no residual vision was chronically implanted with an optic nerve electrode connected to an implanted neurostimulator and antenna. An external controller with telemetry was used for electrical activation of the nerve which resulted in phosphene perception. Open-loop stimulation allowed the collection of phosphene attributes and the ability to elicit perception of simple geometrical patterns. Low perception thresholds allowed for large current intensity range within safety limits. In a closed-loop paradigm, the volunteer was using a head-worn video camera to explore a projection screen. The volunteer underwent performance evaluation during the course of a training program with 45 simple patterns. After learning, the volunteer reached a recognition score of 63% with a processing time of 60 s. Mean performance in orientation discrimination reached 100% with a processing time of 8 s.
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In the citing paper
“Different groups demonstrated that spatially organised phosphenes are induced by applying current-steering or modulating current amplitudes during optic nerve stimulation [65,73].”
From Advances in visual prostheses: engineering and biological challenges (2022) · cites this paper as [65]
In the citing paper
“To date, visual neuroprostheses have been implanted in the retina (Humayun et al. 2012; Stingl et al. 2013; Fujikado et al. 2016; Petoe et al. 2021; Barnes et al. 2016; Palanker et al. 2022; Xu et al. 2021), optic nerve (Veraart et al. 2003), and visual cortex of human subjects (Beauchamp et al. 2020; Fernández et al. 2021).”
From Sequential epiretinal stimulation improves discrimination in simple shape discrimination tasks only (2022) · cites this paper as Veraart et al. 2003
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Cites
The sensations produced by electrical stimulation of the visual cortex
Brindley, G. S., & Lewin, W. S. (1968) · The Journal of Physiology · doi:10.1113/jphysiol.1968.sp008519 · Cited by 1,170
Vision substitution by tactile image projection
BACH-Y-RITA, P., COLLINS, C. C., SAUNDERS, F. A., WHITE, B., & SCADDEN, L. (1969) · Nature · doi:10.1038/221963a0 · Cited by 956
Will Retinal Implants Restore Vision?
Zrenner, E. (2002) · Science · doi:10.1126/science.1067996 · Cited by 736
Schmidt, E. M., Bak, M. J., Hambrecht, F. T., Kufta, C. V., O'Rourke, D. K., & Vallabhanath, P. (1996) · Brain · doi:10.1093/brain/119.2.507 · Cited by 672
Preservation of the Inner Retina in Retinitis Pigmentosa
Santos, A. (1997) · Archives of Ophthalmology · doi:10.1001/archopht.1997.01100150513011 · Cited by 651
Pattern electrical stimulation of the human retina
Humayun, M. S., de Juan, E., Weiland, J. D., Dagnelie, G., Katona, S., Greenberg, R. J., & Suzuki, S. (1999) · Vision Research · doi:10.1016/s0042-6989(99)00052-8 · Cited by 598
Stone, J. L. (1992) · Archives of Ophthalmology · doi:10.1001/archopht.1992.01080230134038 · Cited by 480
Veraart, C., Raftopoulos, C., Mortimer, J. T., Delbeke, J., Pins, D., Michaux, G., Vanlierde, A., Parrini, S., & Wanet-Defalque, M.-C. (1998) · Brain Research · doi:10.1016/s0006-8993(98)00977-9 · Cited by 418
Selective control of muscle activation with a multipolar nerve cuff electrode
Veraart, C., Grill, W. M., & Mortimer, J. T. (1993) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.237694 · Cited by 320
Visual cortical cells: their developmental properties in normal and dark reared kittens.
Buisseret, P., & Imbert, M. (1976) · The Journal of Physiology · doi:10.1113/jphysiol.1976.sp011293 · Cited by 215
Research works printed but not linked: 2
- 10.1068/p2607 · DOI
- Rizzo JF, 2001, Accuracy and reproducibility of percepts elicited by electrical stimulation of the retinas of blind and normal subjects, Invest Ophth Vis Sci, 42, S5045
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Kim, J., & Seo, J.-M. (2025) · Biomedical Engineering Letters · doi:10.1007/s13534-025-00513-4 · Cited by 1
Functional vision restoration based on optic nerve prostheses
Xia, P., Hu, J., Gu, C., Qi, J., Peng, Y., Wu, K., & Chai, X. (2013) · International Conference on Orange Technologies · doi:10.1109/icot.2013.6521146 · Cited by 1
Wang, J., Cao, P., Li, L., & Li, M. (2014) · International Conference on Biomedical Engineering and Informatics (BMEI) · doi:10.1109/bmei.2014.7002830 · Cited by 1
Bionic Eyes: Vision Restoration Through Electronic or Photovoltaic Stimulation
Ayton, L. N., Guymer, R. H., Allen, P. J., & Luu, C. D. (2014) · Stem cell biology and regenerative medicine · doi:10.1007/978-1-4939-0787-8_13 · Cited by 1
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The Bionic Eye: a review of multielectrode arrays
Fox, K. E., Burns, O., Garrett, D. J., Shivdasani, M. N., & Hamish Meffin, A. (2015) · Cambridge University Press eBooks · doi:10.1017/cbo9781139629539.029 · Cited by 1
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Qiao, S., Mauser, K. A., & Yoshida, K. (2013) · Wiley eBooks · doi:10.1002/9781118628522.ch4 · Cited by 1
Chen, S. C., Hallum, L. E., Wong, Y. T., Dommel, N., Byrnes-Preston, P., Suaning, G. J., & Lovell, N. H. (2010) · Wiley eBooks · doi:10.1002/9780471740360.ebs0080 · Cited by 1
Computer supported central nervous system stimulation
Rattay, F. (2007) · International Journal of Applied Electromagnetics and Mechanics · doi:10.3233/jae-2007-846
Future Therapies for Retinitis Pigmentosa
Sahel, J., & Marazova, K. (2014) · Springer eBooks · doi:10.1007/978-3-540-69466-3_53
Retinal/Visual Interfaces (Models, Theory, Techniques): Overview
Lovell, N. H. (2015) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-4614-6675-8_789
Neogi, B., Ghosal, S., Mukherjee, S., Das, A., & Tibarewala, D. N. (2011) · arXiv (Cornell University) · doi:10.48550/arxiv.1111.1684
Simulated phosphene model for visual prosthesis
Zhao, Y., Yang, K., Pang, B., Wang, Y., & Ren, Q. (2012) · International Conference on Biomedical Engineering and Informatics (BMEI) · doi:10.1109/bmei.2012.6512915
Cai, C., Zhao, Y., Li, L., Wu, K., Chai, X., & Ren, Q. (2007) · ICME International Conference on Complex Medical Engineering (CME) · doi:10.1109/iccme.2007.4381954
Image processing method for artificial sight systems based on contrast information
Özden, M., Karadoruk, N., & Karagoz, I. (2009) · National Biomedical Engineering Meeting · doi:10.1109/biyomut.2009.5130320
Nuevos dispositivos electrónicos para interaccionar con el sistema nervioso
Jover, E. F. (2004) · Arbor · doi:10.3989/arbor.2004.i698.610 · Cited by 2
TOWARDS PHOTOVOLTAIC POWERED ARTIFICIAL RETINA
Silvestre, S., Bermejo, S., Murillo, D. G., Ortega, P., & Castañer, L. (2011) · Journal of Accessibility and Design for All · doi:10.17411/jacces.v1i1.77
A Novel Approach for Quantitative Analysis of 3D Phosphenes
Soto‐Sánchez, C., Olmedo-Payá, A., de Santos‐Sierra, D., Agullo, C., & Fernández, E. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-38637-4_35
Implantable retinal prosthesis devices
Ohta, J., Tokuda, T., & Kagawa, K. (2007) · The Review of Laser Engineering · doi:10.2184/lsj.35.210
Walter, P. (2016) · Spektrum der Augenheilkunde · doi:10.1007/s00717-016-0299-4
Replicating 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. (2012) · IGI Global eBooks · doi:10.4018/978-1-4666-2539-6.ch014
Usha Nandini, M. (2016) · Texila international journal of medicine · doi:10.21522/tijmd.2013.04.01.art016
Özden, M., & Karagoz, I. (2015) · Journal of Bioengineering and Biomedical Sciences · doi:10.4172/2155-9538.1000169
Visual Prosth 41. Visual Prostheses
Fernández, E., & Hoffmann, K. (2011)
Optimizing Electrical Stimulation for Closed‐loop Control of Neural Ensembles
Eldawlatly, S. (2017) · Wiley eBooks · doi:10.1002/9781119159193.ch32
Tokuda, T., Ohta, J., Tashiro, H., & Terasawa, Y. (2018) · Wiley eBooks · doi:10.1002/047134608x.w8370
Current Advances in the Design of Retinal and Cortical Visual Prostheses
Bareket, L., Barriga‐Rivera, A., Rosenfeld, J. V., Lovell, N. H., & Suaning, G. J. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-812539-7.00005-2
Printing of platinum for use in neural implants
Sullivan, R. P. (2018) · Research Online (University of Wollongong)
Dagnelie, G. (2007) · Elsevier eBooks · doi:10.1016/b978-012370615-7/50073-1
Humayun, M. S., Brant, R., & Weiland, J. D. (2012) · Elsevier eBooks · doi:10.1016/b978-1-4557-0737-9.00126-0
Spatial navigation with a simulated prosthetic vision in a virtual environment
Vergnieux, V., Macé, M. J. ‐., & Jouffrais, C. (2012) · HAL
Dagnelie, G., Stronks, H. C., & Barry, M. P. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-818422-6.00065-4
刘, 易., 牛, 帅., 周, 业., 周, 阳., 任, 秋., & 牛, 金. (2007) · Science in China Series F-Information Sciences (in Chinese) · doi:10.1360/zf2007-37-10-1354
Replicating 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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Lovell, N. H. (2022) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-0716-1006-0_789
Retinal/Visual Interfaces (Models, Theory, Techniques): Overview
Lovell, N. H. (2014) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-4614-7320-6_789-1
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Rosenfeld, J. V., Wong, Y. T., Szlawski, J., & Gutman, M. (2023) · Handbook of Neuroengineering · doi:10.1007/978-981-16-5540-1_38
Visual Prostheses: Neuroengineering Handbook
Guo, T., Shivdasani, M. N., Tsai, D., Ayton, L. N., Rathbun, D. L., & Lovell, N. H. (2023) · Handbook of Neuroengineering · doi:10.1007/978-981-16-5540-1_31
Park, K. S. (2023) · Springer eBooks · doi:10.1007/978-3-031-20784-6_14
Forensic optometry: A new era called bionic eye
Sharma, K., Rawat, A., Kausar, S., Madishetti, N. K., & Khan, M. (2024) · Indian Journal of Clinical and Experimental Ophthalmology · doi:10.18231/j.ijceo.2024.040
Retinal Neuromodulation as an Influence on Brain Function by Applying Nanoneuroscience Discoveries
Zelinsky, D., DeBuc, D. C., Mohammadzadeh, V., Upadhyaya, S., Lypka, K. R., Pruszenski, A., Fedorchenko, N., Kashou, N. H., Perschke, G., & Kateb, B. (2024) · Springer eBooks · doi:10.1007/978-3-030-80662-0_40
Irregular Artificial Vision Optimization Strategies Based on Transformer Saliency Detection
Wang, J., Zhao, R., He, H., Zhou, X., & Han, Y. (2025) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2024.3524642
Mokwa, W. (2008) · Elsevier eBooks · doi:10.1016/b978-0-323-95478-5.00051-0 · Cited by 1
Charge Pumps for Implantable Microstimulators in Low and High-Voltage Technologies
Kar, G. C. (2013) · PolyPublie (École Polytechnique de Montréal)
Motion perception with visual prostheses
Renshaw, K. T., & Pezaris, J. S. (2026) · Progress in Biomedical Engineering · doi:10.1088/2516-1091/ae46fd · Cited by 1
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Pratiwi, A. M., Kékesi, O., Barriga‐Rivera, A., & Suaning, G. J. (2026) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-026-03541-z
Brain-Computer Interfaces for Vision Recovery in Precortical Vision Loss
Yang, C., Guo, A., & Lin, K. (2026) · Eye and Brain · doi:10.2147/eb.s561691
Apport des dispositifs de restauration de la vision et de la résolution temporelle
Poujade, M. (2019) · theses.fr (ABES) · doi:10.70675/36673ad1zae20z4163zabbfz33afe4422dd6
Trends in neuroprosthetic technologies to restore sensations
Park, B., Butterworth, W., Lee, N., & Kim, S. (2026) · Biomedical Engineering Letters · doi:10.1007/s13534-026-00603-x
Renshaw, K. T., & Pezaris, J. S. (2026) · Oxford University Press eBooks · doi:10.1093/9780197851494.003.0595
Deep Learning–Based Control of Electrically Evoked Activity in Human Visual Cortex
Moure, P., Granley, J., Grani, F., Soo, L., Lozano, A., López-Peco, R., Villamarin-Ortiz, A., Soto-Sanchez, C., Liu, S.-C., Beyeler, M., et al. (2025) · bioRxiv · doi:10.1101/2025.09.24.678361
“One prominent example of neuroprostheses is the visual prosthesis, which electrically stimulates neurons in the retina [11–14], optic nerve [15], lateral geniculate nucleus [16], or early visual cortex [17–20] to restore visual perception.”
Metadata
- Authors
- Veraart, C., Wanet‐Defalque, M., Gérard, B., Vanlierde, A., & Delbeke, J.
- Affiliations
- UCLouvain (BE)
- Corresponding author
- Veraart, Claude
- ORCID
- Delbeke, Jean
- Venue
- Artificial Organs
- Publisher
- Wiley
- Published
- 2003-10-31
- Volume
- 27
- Issue
- 11
- Pages
- 996-1004
- ISSN
- 0160-564X (ISSN-L)
- 1525-1594
- OpenAlex
- W2133256163
- Cited by
- 259
- References
- 22
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 8 · 2023: 6 · 2022: 4 · 2021: 5 · 2020: 7 · 2019: 4 · 2018: 7 · 2017: 5 · 2016: 17 · 2015: 13 · 2014: 14 · 2013: 20 · 2012: 20
- FWCI
- 4.04
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Artificial Organs (publishedVersion)
- PubMed (publishedVersion)
- Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Treatment
- Keywords
- retinal prosthesis, pattern recognition, retinitis pigmentosa, closed-loop stimulation, orientation discrimination, neurostimulation
- MeSH terms
- Electric Stimulation, Electrodes, Implanted, Female, Humans, Middle Aged, Optic Nerve, Pattern Recognition, Visual, Phosphenes, Retinitis Pigmentosa, Task Performance and Analysis, Prostheses and Implants
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