Cited by 259Neuroscience and Neural EngineeringTactile and Sensory InteractionsPain Management and Treatment

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

Veraart, Claude, Wanet‐Defalque, Marie‐Chantal, Gérard, Benoît, Vanlierde, Annick, Delbeke, Jean·2003·Artificial Organs

DOI 10.1046/j.1525-1594.2003.07305.x

Open this paper in CoChat — free account

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.

Integrity signals

Registry

Crossref · 10.1046/j.1525-1594.2003.07305.x

Cites

22 of 22 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

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
Feasibility of a visual prosthesis for the blind based on intracortical micro stimulation of the visual cortex
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
Morphometric Analysis of Macular Photoreceptors and Ganglion Cells in Retinas With Retinitis Pigmentosa
Stone, J. L. (1992) · Archives of Ophthalmology · doi:10.1001/archopht.1992.01080230134038 · Cited by 480
Visual sensations produced by optic nerve stimulation using an implanted self-sizing spiral cuff electrode
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

Show all 22 references

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

Sorted by citations

Items 101–200 of 258

Response properties of electrically evoked potential elicited by multi-channel penetrative optic nerve stimulation in rabbits
Cai, C., Li, L., Li, X., Chai, X., Sun, J., Lu, Y., Sui, X., Chen, P., & Ren, Q. (2008) · Documenta Ophthalmologica · doi:10.1007/s10633-008-9157-2 · Cited by 18
Building the Brain in the Dark: Functional and Specific Crossmodal Reorganization in the Occipital Cortex of Blind Individuals
Collignon, O., Dormal, G., & Leporé, F. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9781139136907.007 · Cited by 18
Adaptive Interfacial Materials and Implants for Visual Restoration
Zhu, X., Wang, F., Zhao, Q., & Du, X. (2024) · Advanced Functional Materials · doi:10.1002/adfm.202314575 · Cited by 17
Reading Pixelized Paragraphs of Chinese Characters Using Simulated Prosthetic Vision
Zhao, Y., Lü, Y., Zhao, J., Wang, K., Ren, Q., Wu, K., & Chai, X. (2011) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.10-5293 · Cited by 18
Stimulation of the retina with a multielectrode extraocular visual prosthesis
Chowdhury, V., Morley, J. W., & Coroneo, M. T. (2005) · ANZ Journal of Surgery · doi:10.1111/j.1445-2197.2005.03498.x · Cited by 18
AN INTRAOCULAR CAMERA FOR RETINAL PROSTHESES: RESTORING SIGHT TO THE BLIND
Stiles, N. R. B., McIntosh, B. P., Nasiatka, P. J., HAUER, M. C., Weiland, J. D., Humayun, M. S., & Tanguay, A. R. (2010) · Advanced series in applied physics · doi:10.1142/9789814295789_0020 · Cited by 18
Influence of field of view in visual prostheses design: Analysis with a VR system
Sanchez-Garcia, M., Martínez-Cantín, R., Bermúdez-Cameo, J., & Guerrero, J. J. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/abb9be · Cited by 16
Recognition of Objects in Simulated Irregular Phosphene Maps for an Epiretinal Prosthesis
Lü, Y., Wang, J., Wu, H., Li, L., Cao, X., & Chai, X. (2013) · Artificial Organs · doi:10.1111/aor.12174 · Cited by 16
Simulated Prosthetic Vision: The Benefits of Computer‐Based Object Recognition and Localization
Macé, M. J. ‐., Guivarch, V., Denis, G., & Jouffrais, C. (2015) · Artificial Organs · doi:10.1111/aor.12476 · Cited by 18
Central nervous system microstimulation: Towards selective micro-neuromodulation
Urdaneta, M. E., Koivuniemi, A. S., & Otto, K. J. (2017) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2017.09.012 · Cited by 16
The Implications of Brain Plasticity and Task Selectivity for Visual Rehabilitation of Blind and Visually Impaired Individuals
Chebat, D., Heimler, B., Hofsetter, S., & Amedi, A. (2018) · Contemporary clinical neuroscience · doi:10.1007/978-3-319-78926-2_13 · Cited by 15
Rehabilitation regimes based upon psychophysical studies of prosthetic vision
Chen, S. C., Suaning, G. J., Morley, J. W., & Lovell, N. H. (2009) · Journal of Neural Engineering · doi:10.1088/1741-2560/6/3/035009 · Cited by 15
Object Recognition Under Distorted Prosthetic Vision
Guo, H. M., Wang, Y., Yang, Y., Tong, S., Zhu, Y., & Qiu, Y. (2010) · Artificial Organs · doi:10.1111/j.1525-1594.2009.00976.x · Cited by 14
Electrodes and Chronic Optic Nerve Stimulation
Delbeke, J. (2011) · Journal of Applied Biomedicine · doi:10.1016/s0208-5216(11)70021-3 · Cited by 14
Penetrating electrode stimulation of the rabbit optic nerve: parameters and effects on evoked cortical potentials
Sun, J., Chen, Y., Chai, X., Ren, Q., & Li, L. (2013) · Graefe s Archive for Clinical and Experimental Ophthalmology · doi:10.1007/s00417-013-2449-6 · Cited by 14
Implantation of a newly developed direct optic nerve electrode device for artificial vision in rabbits
Sakaguchi, H., Kamei, M., Nishida, K., Terasawa, Y., Fujikado, T., Ozawa, M., & Nishida, K. (2012) · Journal of Artificial Organs · doi:10.1007/s10047-012-0642-8 · Cited by 14
Ethical Considerations for Volunteer Recruitment of Visual Prosthesis Trials
Xia, Y. X., & Ren, Q. (2012) · Science and Engineering Ethics · doi:10.1007/s11948-012-9375-6 · Cited by 13
The impact of synchronous versus asynchronous electrical stimulation in artificial vision
Moleirinho, S., Whalen, A. J., Fried, S. I., & Pezaris, J. S. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/abecf1 · Cited by 14
A REVIEW OF RETINAL PROSTHESIS APPROACHES
Kiên, T. T., Maul, T., & Andrzej Bargiela, A. (2012) · International Journal of Modern Physics Conference Series · doi:10.1142/s2010194512005272 · Cited by 13
Phosphene Mapping Techniques for Visual Prostheses
Stronks, H. C., & Dagnelie, G. (2011) · Springer eBooks · doi:10.1007/978-1-4419-0754-7_19 · Cited by 13
Electrical devices for visual restoration
Sharf, T., Kalakuntla, T., Lee, D. J., & Gokoffski, K. K. (2021) · Survey of Ophthalmology · doi:10.1016/j.survophthal.2021.08.008 · Cited by 12
Microcomputer-based artificial vision support system for real-time image processing for camera-driven visual prostheses
Fink, W., You, C. X., & Tarbell, M. A. (2010) · Journal of Biomedical Optics · doi:10.1117/1.3292012 · Cited by 12
Two-way communication for programming and measurement in a miniature implantable stimulator
Thil, M., Gérard, B., Jarvis, J. C., & Delbeke, J. (2005) · Medical & Biological Engineering & Computing · doi:10.1007/bf02344736 · Cited by 12
In vivo comparison of the charge densities required to evoke motor responses using novel annular penetrating microelectrodes
Brunton, E., Winther‐Jensen, B., Wang, C., Yan, E. B., Gooie, S. H., Lowery, A. J., & Rajan, R. (2015) · Frontiers in Neuroengineering · doi:10.3389/fneng.2015.00005 · Cited by 12
Integration of similarity measurement and dynamic SVM for electrically evoked potentials prediction in visual prostheses research
Qi, J., Hu, J., Peng, Y., Ren, Q., Wang, W., & Zhan, Z. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.09.145 · Cited by 12
Visual Prosthesis: Artificial Vision
Banarji, A., Gurunadh, V. S., Patyal, S., Ahluwalia, T. S., Vats, D., & Bhadauria, M. (2009) · Medical Journal Armed Forces India · doi:10.1016/s0377-1237(09)80098-1 · Cited by 12
Vision implants: An electrical device will bring light to the blind
Niu, J., Liu, Y., Ren, Q., Zhou, Y., Zhou, Y., & Niu, S. (2007) · Science in China Series F Information Sciences · doi:10.1007/s11432-007-0072-z · Cited by 12
Epiretinale Sehprothesen
Walter, P., & Mokwa, W. (2005) · Der Ophthalmologe · doi:10.1007/s00347-005-1250-2 · Cited by 12
Participant perspectives from a cortical vision implant study: Ethical and psychological implications
Lane, F. J., Nitsch, K. P., & Troyk, P. R. (2015) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2015.7146610 · Cited by 11
Nanobiomaterials for bionic eye
Ghaffari, M. S., Moztarzadeh, S., Rahmanian, F., Yazdanpanah, A., Ramedani, A., Mills, D. K., & Mozafari, M. (2016) · Elsevier eBooks · doi:10.1016/b978-0-323-41532-3.00008-7 · Cited by 11
Perspectives of optic nerve prostheses
Lane, F. J., Nitsch, K. P., HUYCK, M. H., Troyk, P. R., & Schug, K. (2014) · Disability and Rehabilitation Assistive Technology · doi:10.3109/17483107.2014.961178 · Cited by 11
Artificial Retina IC
Ohta, J. (2010) · Integrated circuits and systems · doi:10.1007/978-1-4419-6597-4_14 · Cited by 11
Sequential epiretinal stimulation improves discrimination in simple shape discrimination tasks only
Christie, B., Sadeghi, R., Kartha, A., Caspi, A., Tenore, F. V., Klatzky, R. L., Dagnelie, G., & Billings, S. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac7326 · Cited by 10
A machine-learning algorithm correctly classifies cortical evoked potentials from both visual stimulation and electrical stimulation of the optic nerve
Gaillet, V., Borda, E., Zollinger, E. G., & Ghezzi, D. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/abf523 · Cited by 10
Recognition of Similar Objects Using Simulated Prosthetic Vision
Hu, J., Xia, P., Gu, C., Qi, J., Li, S., & Peng, Y. (2013) · Artificial Organs · doi:10.1111/aor.12147 · Cited by 10
1 Visual Prosthesis 2 Microelectronic implants that provide identification of simple objects and motion 3 detection for blind patients have been tested and evaluated; further development is 4 needed for face recognition and reading implants.
Weiland, J. D., & Humayun, M. S. (2008) · Proceedings of the IEEE · Cited by 10
Assistive peripheral phosphene arrays deliver advantages in obstacle avoidance in simulated end-stage retinitis pigmentosa: a virtual-reality study
Zapf, M. P., Boon, M. Y., Lovell, N. H., & Suaning, G. J. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/2/026022 · Cited by 10
Pre‐processing visual scenes for retinal prosthesis systems: A comprehensive review
Holiel, H. A., Fawzi, S. A., & Al‐Atabany, W. (2024) · Artificial Organs · doi:10.1111/aor.14824 · Cited by 11
Estimation of Phosphene Spatial Variability for Visual Prosthesis Applications
Iyad Obeid, A., Veraart, C., & Delbeke, J. (2010) · Artificial Organs · doi:10.1111/j.1525-1594.2009.00878.x · Cited by 6
The Spatial Extent of Epiretinal Electrical Stimulation in the Healthy Mouse Retina
Hosseinzadeh, Z., Jalligampala, A., Zrenner, E., & Rathbun, D. L. (2017) · Neurosignals · doi:10.1159/000479459 · Cited by 8
A Computational Pixelization Model Based on Selective Attention for Artificial Visual Prosthesis
Li, R., Zhang, X., & Hu, G. (2005) · Lecture notes in computer science · doi:10.1007/11539902_80 · Cited by 8
The role of vision processing in prosthetic vision
Barnes, N. M., He, X., McCarthy, C. D., Horne, L., Kim, J., Scott, A., & Lieby, P. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6345930 · Cited by 8
Artificial Retinas
Mokwa, W. (2008) · Elsevier eBooks · doi:10.1016/b978-044452190-3.00027-6 · Cited by 8
The Future of Implantable Neuroprosthetic Devices: Ethical Considerations
Chhatbar, P. Y. (2009) · Journal of Long-Term Effects of Medical Implants · doi:10.1615/jlongtermeffmedimplants.v19.i2.40 · Cited by 8
An actor-model framework for visual sensory encoding
Leong, F., Rahmani, B., Psaltis, D., Moser, C., & Ghezzi, D. (2024) · Nature Communications · doi:10.1038/s41467-024-45105-5 · Cited by 8
Predicting electrical evoked potential in optic nerve visual prostheses by using support vector regression and case-based prediction
Hu, J., Qi, J., Peng, Y., & Ren, Q. (2014) · Information Sciences · doi:10.1016/j.ins.2014.08.036 · Cited by 7
Neuroplasticity in the blind and sensory substitution for vision
Striem-Amit, E. (2014) · doi:10.13140/2.1.2640.2247 · Cited by 7
Person Recognition Based on FaceNet under Simulated Prosthetic Vision
Zhao, Y., Yu, A., & Xu, D. (2020) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1437/1/012012 · Cited by 7
Visual Prostheses: Neuroengineering Handbook
Guo, T., Shivdasani, M. N., Tsai, D., Ayton, L. N., Rathbun, D. L., & Lovell, N. H. (2021) · Handbook of Neuroengineering · doi:10.1007/978-981-15-2848-4_31-2 · Cited by 7
Flexible Circuit Technologies for Biomedical Applications
Damien, C., Li, W., James, D., MARK, S. D., & Tai, Y. (2013) · InTech eBooks · doi:10.5772/55308 · Cited by 7
Threshold Suprachoroidal-Transretinal Stimulation Current Required by Different-Size Electrodes in Rabbit Eyes
Liang, T., Zhao, L., Sui, X., Zhou, C., Ren, Q., & Qi, Y. (2010) · Ophthalmic Research · doi:10.1159/000317034 · Cited by 7
Introduction to Visual Prostheses
Fernández, E., & Normann, R. A. (2016) · Europe PMC (PubMed Central) · Cited by 7
Visual Prosthesis Based on Optic Nerve Stimulation with Penetrating Electrode Array
Ren, Q., Chai, X., Wu, K., Zhou, C., & C-Sight Group (2007) · Springer eBooks · doi:10.1007/978-0-387-49331-2_10 · Cited by 7
Nitric oxide synthases II and III and vascular endothelial growth factor are up-regulated in sciatic nerve after spiral cuff electrode implantation
Thil, M., Vince, V., Veraart, C., Delbeke, J., & Colin, I. M. (2005) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2005.06.011 · Cited by 7
Visual Prostheses
Delbeke, J., & Veraart, C. (2006) · Wiley eBooks · doi:10.1002/0471732877.emd325 · Cited by 7
A Fast and Flexible Computer Vision System for Implanted Visual Prostheses
Li, W. H. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-16199-0_48 · Cited by 6
Dispersion and Accuracy of Simulated Phosphene Positioning Using Tactile Board
Zhang, L., Chai, X., Ling, S., Fan, J., Yang, K., & Ren, Q. (2009) · Artificial Organs · doi:10.1111/j.1525-1594.2009.00826.x · Cited by 6
Optic nerve-mediated modulation of temporally interfering electric fields for potential targeted retinal disease therapy: a computational modeling study
Zhou, M., Su, X., Guo, T., Meng, T., Wu, W., Di, L., Li, L., Li, H., & Chai, X. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1518488 · Cited by 5
Delivery of Information and Power to the Implant, Integration of the Electrode Array with the Retina, and Safety of Chronic Stimulation
Loudin, J., Butterwick, A. F., Huie, P., & Palanker, D. (2011) · Springer eBooks · doi:10.1007/978-1-4419-0754-7_7 · Cited by 5
Visual Prostheses
Fernández, E., & Hoffmann, K. (2011) · Springer eBooks · doi:10.1007/978-3-540-74658-4_41 · Cited by 5
Findings from Chronic Optic Nerve and Cortical Stimulation
Schmidt, E. M. (2011) · Springer eBooks · doi:10.1007/978-1-4419-0754-7_15 · Cited by 5
Mobility enhancement using simulated artificial human vision
Dowling, J. (2007) · Cited by 5
Retinal prosthesis: a comprehensive review
Menia, N. K., & Venkatesh, P. (2025) · Expert Review of Ophthalmology · doi:10.1080/17469899.2025.2474064 · Cited by 4
A Kalman-based encoder for electrical stimulation modulation in a thalamic network model
Jawwad, A., Abolfotuh, H. H., Abdullah, B. A., Mahdi, H. M. K., & Eldawlatly, S. (2015) · IEEE International Conference on Bioinformatics and Bioengineering (BIBE) · doi:10.1109/bibe.2015.7367642 · Cited by 4
Properties of electrically evoked potentials activated by optic nerve stimulation with penetrating electrodes of different modes in rabbits
Cao, P., Sun, J., Yan, Y., Chen, Y., Chai, X., Sun, X., Ren, Q., & Li, L. (2015) · Graefe s Archive for Clinical and Experimental Ophthalmology · doi:10.1007/s00417-015-3121-0 · Cited by 4
A CMOS microchip-based retinal prosthetic device for large numbers of stimulation in wide area
Ohta, J., Noda, T., Sasagawa, K., Tokuda, T., Terasawa, Y., Kanda, H., & Fujikado, T. (2013) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2013.6571924 · Cited by 4
A Flexible Electrode Driver Using 65 nm CMOS Process for 1024-Electrode Epi-Retinal Prosthesis
Tran, N., Yang, J., Bai, S., Skafidas, E. S., Mareels, I., Ng, D. C., & Halpern, M. E. (2010) · International Conference on Future Information Technology · doi:10.1109/futuretech.2010.5482677 · Cited by 4
A Prototype Retinal Prosthesis for Visual Stimulation
Abu‐Faraj, Z. O., Rjeily, D. M. A., Nasreddine, R. W. B., Andari, M. A., & Taok, H. H. (2007) · Conference proceedings · doi:10.1109/iembs.2007.4353659 · Cited by 4
The Development of Visual Prosthetic Devices to Restore Vision to the Blind
Memon, M. A., & Rizzo, J. F. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374248-3.00060-4 · Cited by 4
CLINICAL IMPLEMENTATION OF NERVE CUFF ELECTRODES FOR AN UPPER EXTREMITY NEUROPROSTHESIS
Polasek, K. H. (2007) · OhioLink ETD Center (Ohio Library and Information Network) · Cited by 4
Visual Prostheses
Weitz, A. C., & Weiland, J. D. (2014) · Springer eBooks · doi:10.1007/978-1-4614-8151-5_7 · Cited by 4
Evaluation of postterm pregnancies with maternal serum placental lactogen and alpha-fetoprotein concentrations.
Josimovich, J. B., Soffronoff, P., Starkovsky, N. A., & Mueller‐Heubach, E. (1977) · PubMed · Cited by 4
Interfacing Microelectronics and the Human Visual System
Agrawal, R. N., Humayun, M. S., Weiland, J. D., Lazzi, G., & Gosalia, K. C. (2005) · doi:10.1201/9781420037715-22 · Cited by 4
Neuroprosthetics
Ziat, M., & Bensmaı̈a, S. J. (2015) · Elsevier eBooks · doi:10.1016/b978-0-08-097086-8.55057-0 · Cited by 4
The Influence of Phosphene Synchrony in Driving Object Binding in a Simulation of Artificial Vision
Meital-Kfir, N., & Pezaris, J. S. (2023) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.64.15.5 · Cited by 3
Artificial vision support system (AVS 2 ) for improved prosthetic vision
Fink, W., & Tarbell, M. A. (2014) · Journal of Medical Engineering & Technology · doi:10.3109/03091902.2014.957869 · Cited by 3
Smartphones as image processing systems for prosthetic vision
Zapf, M. P., Matteucci, P. B., Lovell, N. H., & Suaning, G. J. (2013) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6610344 · Cited by 3
TOWARD THE OPTIMAL ARCHITECTURE OF AN ASIC FOR NEUROSTIMULATION
Cuevas, M. A. M., Saleh, L. A., Schroeder, D., & Krautschneider, W. (2012) · International Conference on Biomedical Electronics and Devices · doi:10.5220/0003774001790184 · Cited by 3
The Future of Neural Interface Technology
Park, M. C., Goldman, M. A., Belknap, T. W., & Friehs, G. M. (2009) · Springer eBooks · doi:10.1007/978-3-540-69960-6_193 · Cited by 3
Diamond-based technology dedicated to Micro Electrode Arrays for neuronal prostheses
Bongrain, A., Bendali, A., Lissorgues, G., Rousseau, L., Yvert, B., Scorsone, E., Bergonzo, P., & Picaud, S. A. (2011) · UCL Discovery (University College London) · Cited by 3
Neuromuscular electrical stimulation using different waveforms: Properties comparison by applying single pulses
Meza-Cuevas, M. A., Schroeder, D., & Krautschneider, W. H. (2012) · International Conference on Biomedical Engineering and Informatics (BMEI) · doi:10.1109/bmei.2012.6512988 · Cited by 4
Implants for artificial vision
Walter, P. (2009) · Expert Review of Ophthalmology · doi:10.1586/eop.09.42 · Cited by 3
Development of an Intraocular Retinal Prosthesis to Benefit the Visually Impaired
Liu, W., Sivaprakasam, M., Wang, G., Zhou, M., Weiland, J. D., & Humayun, M. S. (2007) · Humana Press eBooks · doi:10.1007/978-1-59745-449-0_5 · Cited by 3
CORTICAL VISUAL NEUROPROSTHESES FOR THE BLIND
Fernández, E., Pelayo, F. J., Ahnelt, P. K., Ammermüller, J., & Normann, R. A. (2004) · Cited by 3
Vision Enhancement Systems
Dagnelie, G., Stronks, H. C., & Barry, M. P. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-398358-9.00069-0 · Cited by 3
Penetrative Optic Nerve-Based Visual Prosthesis Research
Li, M., Yan, Y., Wu, K., Lu, Y., Sun, J., Chen, Y., Chai, X., Katz, S. E., Cao, P., Ma, Z., et al. (2016) · Springer eBooks · doi:10.1007/978-3-319-41876-6_13 · Cited by 3
Chemoretina: An alternate approach to retinal prosthesis: Visual stimulation strategy using chemicals
Pai, A. V., Bellare, J., & Gandhi, T. K. (2016) · IEEE India Conference · doi:10.1109/indicon.2016.7839036 · Cited by 3
Neurostimulation in Neuro-Ophthalmology: Mechanisms and Therapeutic Potential
Shaheen, N., Khaled, M. B., Seo, S., Bezchlibnyk, Y. B., Flouty, O. E., & Bharmauria, V. (2024) · IntechOpen eBooks · doi:10.5772/intechopen.115105 · Cited by 4
Machine Learning Techniques for Simulating Human Psychophysical Testing of Low‐Resolution Phosphene Face Images in Artificial Vision
An, N. H., Roh, H., Kim, S., Kim, J. H., & Im, M. (2025) · Advanced Science · doi:10.1002/advs.202405789 · Cited by 2
Reverse-Engineer the Brain: Perspectives and Challenges
Urendes, E. J., Caballero, A. F., Rueda, F. M., Giménez, J. I., & Oboe, R. (2013) · Biosystems & biorobotics · doi:10.1007/978-3-642-38556-8_9 · Cited by 2
Preparation of stimulus-sensitive gel particles with a DNA-dye complex and their pH sensitivity
Nishiyama, T., Kagami, Y., Yamauchi, T., & Tsubokawa, N. (2012) · Polymer Journal · doi:10.1038/pj.2011.142 · Cited by 2
Artificial Organs 2003: A Year in Review
Malchesky, P. S. (2004) · Artificial Organs · doi:10.1111/j.1525-1594.2004.07359.x · Cited by 2
Neurophysiology study of early visual processing of face and non-face recognition under simulated prosthetic vision
Yang, Y., Guo, H. M., Tong, S., Zhu, Y., & Qiu, Y. (2009) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2009.5333672 · Cited by 2
Artificial Vision
Humayun, M. S., Lakhanpal, R. R., & Weiland, J. D. (2006) · Elsevier eBooks · doi:10.1016/b978-0-323-02598-0.50160-9 · Cited by 2
Applications of Nanotechnology/Nanomaterials in the Nervous System
Liu‐Snyder, P. (2007) · WORLD SCIENTIFIC eBooks · doi:10.1142/9789812779656_0005 · Cited by 2
Recognition of a Virtual Maze Scene Using Simulated Prosthetic Vision
Zhao, Y., Geng, X., Li, Q., Jiang, G., Gu, Y., & Lv, X. (2017) · Artificial Organs · doi:10.1111/aor.13064 · Cited by 2
Visual prostheses and other assistive devices
Memon, M. A., & Rizzo, J. F. (2010) · Elsevier eBooks · doi:10.1016/b978-0-7020-2983-7.00075-9 · Cited by 2
Sehprothesen
Walter, P. (2016) · Der Ophthalmologe · doi:10.1007/s00347-015-0202-8 · Cited by 2
Healing the Blind: Perspectives of Blind Persons on Methods to Restore Sight
Silverman, A. M. (2012) · Springer eBooks · doi:10.1007/978-94-007-1787-9_9 · Cited by 2
Supernumerary Robotic Limbs : task planning, execution, and prediction-based coordination with the human wearer
Llorens-Bonilla, B. (2013) · Cited by 2

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
DOI: 10.1046/j.1525-1594.2003.07305.x
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
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor)
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

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 ›

Are you an author, or do you see a problem with this page? Request a review

Pattern Recognition with the Optic Nerve Visual Prosthesis

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks