- •Visual Prosthetics
- •Preface
- •Acknowledgments
- •Contents
- •Contributors
- •1.1 The Visual System as an Engineering Compromise
- •1.2 An Overview of Human Visual System Architecture
- •1.2.1 Architecture and Basic Function of the Eye
- •1.2.2 Layout of the Retino-Cortical Pathway
- •1.2.3 Layout of the Subcortical Pathways
- •1.3 An Overview of Human Visual Function
- •1.3.1 Roles of Central (Foveal) Vision
- •1.3.2 Roles of Peripheral Vision
- •1.3.3 Roles of Dark-Adapted Vision
- •1.3.4 A Few Remarks Regarding Visual Development
- •1.4 Prospects for Prosthetic Vision Restoration
- •References
- •2.1 Introduction
- •2.2 Retina
- •2.2.1 Anatomy
- •2.2.2 Physiology and Receptive Fields
- •2.4.1 Anatomy
- •2.4.2 Physiology and Receptive Fields
- •2.6 The Role of Spatiotemporal Edges in Early Vision
- •2.7 The Role of Corners in Early Vision
- •2.7.1 Overview
- •2.8 Effects of Fixational Eye Movements in Early Visual Physiology and Perception
- •2.8.1 Overview
- •2.8.2 Neural Adaptation and Visual Fading
- •2.8.3 Microsaccades in Visual Physiology and Perception
- •References
- •3.1 Introduction
- •3.2 Background
- •3.3 Retinal Disease and Its Diversity
- •3.4 Retinal Remodeling
- •3.5 Retinal Circuitry
- •3.6 Retinal Circuitry Revision
- •3.7 Implications for Bionic Rescue
- •3.8 Implications for Biological Rescue
- •3.9 Final Remarks
- •References
- •4.1 Introduction
- •4.4 What Are the Limits to This Cortical Plasticity?
- •4.5 Possible Mechanisms Behind Brain Plasticity
- •4.6 Modulation of Brain Plasticity: Recent Developments
- •4.7 Neuroplasticity and Other Neuroprostheses Efforts
- •4.8 A Look at What Is Ahead
- •References
- •5.1 Introduction
- •5.2 Vision Changes Experienced by RP Patients
- •5.2.1 Overview
- •5.2.2 Visual Field Loss in RP
- •5.2.3 Changes in Color Vision and Glare Sensitivity in RP
- •5.2.4 Vision Fluctuations in RP
- •5.3 Visual Changes in Patients with Advanced Macular Degeneration
- •5.3.1 Changes Due to Wet AMD or Choroidal Neovascularization
- •5.3.2 Changes Due to Dry AMD or Geographic Atrophy
- •5.4 Charles Bonnet Syndrome
- •5.4.1 Overview
- •5.4.2 Complexity of Visual Hallucinations in CBS
- •5.4.3 Predictors and Alleviating Factors for CBS
- •5.5 Filling-In Phenomena (Perceptual Completion)
- •5.6 Remapping of Primary Visual Cortex in Patients with Central Scotomas from Macular Disease
- •5.7 The Preferred Retinal Locus for Fixation
- •5.8 Photopsias
- •5.8.1 Photopsias in RP
- •5.8.2 Photopsias in AMD and Other Ocular Diseases
- •5.9 Concluding Remarks
- •References
- •6.1 Introduction
- •6.2 Electrode–Electrolyte Interface
- •6.3 Electrode Material
- •6.3.1 Electrode Characterization
- •6.4 Overview of Electrode Materials for Neural Stimulation
- •6.5 Overview of Extracellular Stimulation
- •6.6 Safe Stimulation of Tissue
- •6.6.1 Mechanisms of Neural Injury
- •6.6.2 Parameters for Safe Stimulation
- •6.6.3 Stimulation Induced Injury in the Retina
- •References
- •7.1 Introduction
- •7.2 Power and Data Transmission
- •7.2.1 Wireline Connection
- •7.2.2 Inductive Coils
- •7.2.3 Serial Optical Telemetry
- •7.2.4 Photodiode Array-Based Prostheses
- •7.2.5 Thermal Safety Considerations
- •7.2.6 Conclusions: Comparing the Different Approaches
- •7.3 Tissue Response to a Subretinal Implant
- •7.3.1 Flat Implants
- •7.3.2 Chamber Implants
- •7.3.3 Pillar Arrays
- •7.4 Damage to Retinal Tissue from Electrical Stimulation
- •7.4.1 Effect of Pulse Duration
- •7.4.2 Electrode Size
- •7.5 Concluding Remarks
- •References
- •8.1 Introduction
- •8.2 Quasistatic Numerical Methods: The Admittance Method
- •8.2.1 Layered Retinal Model
- •8.2.2 Equivalent Electric Circuit
- •8.3 Three-Dimensional Activation Function Calculation
- •8.4 Safety of Implant
- •8.5 Conclusion
- •References
- •9.1 Pathophysiology of Retinal Degeneration
- •9.2.1 Outer Plexiform Layer
- •9.2.2 Inner Plexiform Layer
- •9.2.2.1 Bipolar Cell Excitation of Retinal Ganglion Cells
- •9.2.2.2 Amacrine Cell Modulation of Signal Processing
- •9.2.2.3 Inhibitory Transmitters
- •9.2.2.4 Acetylcholine and Dopamine
- •9.2.2.5 Neuropeptides
- •9.2.2.6 Putative neurotransmitters for retinal prosthesis
- •9.3 Neurophysiological Changes in Retinal Degeneration
- •9.4 Rationale for a Neurotransmitter-Based Retinal Prosthesis
- •9.4.1 Limitations of Electrical Stimulation
- •9.5 Technical Considerations and Design Approaches
- •9.5.1 Operating Principles for a Neurotransmitter-Based Retinal Prosthesis
- •9.5.2 Establishing a Retinal Prosthesis/Synaptic Interface
- •9.5.2.1 The Proximity Requirement
- •9.5.2.2 Convective Delivery of Neurotransmitters Via Microfluidics
- •9.5.2.3 Functionalized Surfaces for Neurotransmitter Stimulation
- •9.5.2.4 Synaptic Requirements for l-Glutamate Mediated Neuronal Stimulation
- •9.6 Summary
- •References
- •10.1 Introduction
- •10.2 Pioneering Experiments
- •10.2.1 Stimulation with No Chromophores
- •10.2.2 Azo Chromophores
- •10.3 Current Research
- •10.3.1 Caged Neurotransmitters
- •10.3.2 Pore Blocker and Photoisomerization
- •10.3.3 The Channelrhodopsins
- •10.3.4 Melanopsin
- •10.4 Synthetic Chromophores and Artificial Sight
- •References
- •11.1 Background
- •11.2 Physical Structure of Intracortical Electrodes
- •11.3 Charge Injection Using Intracortical Electrodes
- •11.3.1 The Intracortical Electrode as a Transducer
- •11.3.2 Charge Injection Limits
- •11.4 Intracortical Electrode Coatings
- •11.5 Characterization of Intracortical Electrodes
- •11.5.1 Cyclic Voltammetry
- •11.5.2 Electrode Stimulation Voltage Waveforms
- •11.5.3 Non-ideal Access Resistance Behavior
- •11.5.4 Non-linear Electrode Polarization
- •11.5.5 Determining Electrode Safety
- •11.6 Contrasts of In Vitro and In Vivo Behavior
- •11.7 Alternative Coatings for Improving Intracortical Electrodes
- •11.7.1 SIROF
- •11.7.2 PEDOT
- •11.7.3 Carbon Nanotube Coatings
- •11.8 Conclusion
- •References
- •12.1 Introduction
- •12.2 Responses of RGCs to Electrical Stimulation in Normal Retina
- •12.2.1 Epiretinal Stimulation
- •12.2.1.1 Target of Stimulation
- •12.2.1.2 The Site of Spike Initiation in RGCs
- •12.2.1.3 Threshold vs. Stimulating Electrode Diameter
- •12.2.1.4 Spatial Extent of Activation
- •12.2.1.5 Selective Activation
- •12.2.1.6 Temporal Response Properties
- •12.2.2 Subretinal Stimulation
- •12.2.2.1 Target of Stimulation
- •12.2.2.2 Threshold vs. Polarity of Stimulation Pulse
- •12.2.2.3 Spatial Extent of Activation
- •12.2.2.4 Temporal Response Properties
- •12.2.2.5 Dynamics of the Retinal Response
- •12.4 Responses of RGCs to Electrical Stimulation in Degenerate Retina
- •12.4.1 Epiretinal Stimulation
- •12.4.2 Subretinal Stimulation
- •12.4.2.1 Response Properties of RGCs
- •12.4.2.2 Activation Thresholds of RGCs
- •12.5 Cortical Responses to Retinal Stimulation
- •12.5.1 Spatial Properties Revealed by Cortical Measurements
- •12.5.2 Local Field Potentials
- •12.5.3 Elicited Responses Are Focal
- •12.5.4 Cortical Measurements Reveal Electrode Interactions
- •12.5.5 Temporal Responsiveness in Cortex
- •12.6 Suggestions for Future Studies
- •References
- •13.1 Introduction
- •13.2 General Considerations for Acute Retinal Stimulation Experiments
- •13.3 Surgical Technique
- •13.4 Threshold Measurements
- •13.5 Spatial Resolution and Pattern Perception
- •13.6 Temporal Resolution
- •13.7 Subretinal Versus Epiretinal Stimulation
- •13.8 Less Invasive Stimulation Procedures
- •13.9 Conclusions and Outlook
- •References
- •14.1 Introduction
- •14.2 Overview of Chronic Retinal Implant Technologies
- •14.2.1 The Retinal Implant AG Microphotodiode Prosthesis
- •14.2.2 The Intelligent Retinal Implant System
- •14.2.3 Second Sight Medical Products, Inc. A16 System
- •14.3 Thresholds on Individual Electrodes
- •14.3.1 Single Pulse Thresholds Using the SSMP System
- •14.3.2 Pulse Train Integration and Temporal Sensitivity
- •14.4 Suprathreshold Brightness
- •14.4.1 Brightness Using the Retinal Implant AG System
- •14.4.2 Brightness Using the Intelligent Medical Implant System
- •14.4.3 Brightness Using the SSMP A16 System
- •14.5 Spatial Vision
- •14.5.1 Spatial Vision with the Retinal Implant AG System
- •14.5.2 Spatial Vision with the Intelligent Medical Implant System
- •14.5.3 Spatial Vision with the SSMP A16 System
- •14.6 Models to Guide Electrical Stimulation Protocols
- •14.7 Conclusions
- •References
- •15.1 Background
- •15.2 Cortical Surface Stimulation
- •15.3 Intracortical Microstimulation
- •15.4 Optic Nerve Stimulation
- •15.5 What Is Known and What Needs to Be Done
- •15.6 Current Research Efforts
- •15.6.1 Optic Nerve Stimulation
- •15.6.2 Cortical Surface Stimulation
- •15.6.3 Intracortical Stimulation of Visual Cortex
- •15.6.4 CORTIVIS Program
- •15.6.5 Lateral Geniculate Stimulation
- •15.7 Microelectrode Arrays and Stimulation Hardware
- •15.7.1 Miniature Cameras
- •15.7.2 Animal Models
- •15.7.3 Image Processing and Phosphene Mapping
- •15.8 Conclusion
- •References
- •16.1 Introduction
- •16.2 Simulation Techniques and Basic Parameters
- •16.2.1 Gaze Tracking and Image Stabilization
- •16.2.2 Filter Engine Parameters
- •16.2.2.1 Raster Spatial Properties
- •16.2.2.2 Dot Spatial Properties
- •16.2.2.3 Temporal Properties
- •16.2.2.4 Dynamic Background Noise
- •16.2.2.5 Input Filtering/Windowing, Image Enhancement
- •16.3 Optotype Resolution and Reading
- •16.3.1 Visual Acuity
- •16.3.2 Reading
- •16.4 Face and Object Recognition
- •16.5 Visually Guided Behavior
- •16.5.1 Hand–Eye Coordination
- •16.5.2 Wayfinding
- •16.6 Visual Tracking
- •16.7 Computational Simulations
- •16.8 Conclusion
- •References
- •17.1 Introduction
- •17.2 Situating Image Analysis
- •17.3 The Experimental Framework
- •17.4 Tracking a Low-Resolution Target
- •17.5 Discussion
- •17.6 Conclusion
- •References
- •18.1 Introduction
- •18.2 Representation of Visual Space on the Visual Cortex
- •18.3 Cortical Stimulation Studies
- •18.4 Variability in Occipital Cortex
- •18.5 Phosphene Map Estimation
- •18.6 Psychophysical Studies with the Estimated Maps
- •References
- •19.1 Importance of Mapping
- •19.3 The Computer Era: Refining the Pointing Method of Phosphene Mapping
- •19.4 Verbal Mapping
- •19.5 Mapping Studies Using Subject Drawings
- •19.6 Recent Simulation Studies Using Phosphene Mapping
- •19.6.1 Tactile Simulations at Shanghai Jiao Tong University
- •19.6.2 Simulations in Our Laboratory
- •19.7 Concluding Remarks on Phosphene Mapping Techniques
- •References
- •20.1 Introduction
- •20.2 Principles for Assessment of Prosthetic Vision
- •20.2.1 Experimental Design
- •20.2.2 The Importance of Pre-operative Testing
- •20.2.3 Post-operative Assessment
- •20.2.4.1 Potential Approaches
- •20.2.4.2 Avoidance of Bias
- •20.2.4.3 Criteria for Sound Testing
- •20.2.4.4 Forced Choice Procedures
- •20.2.4.5 Response Time
- •20.2.4.6 Task (Perceptual) Learning
- •20.2.4.7 Establishing Criteria for Meaningful Change
- •20.2.4.8 Light Level
- •20.3 Vision Assessment in Prosthesis Recipients: Overview
- •20.3.1 Visual Function Assessment: Overview
- •20.3.2 Visual Performance Assessment: Overview
- •20.3.2.1 Measured Visual Performance
- •20.3.2.2 Self-Reported Visual Performance
- •20.4 Visual Function Assessment
- •20.4.1 Candidate Measures
- •20.4.1.1 Contrast Sensitivity (Contrast Detection)
- •20.4.1.2 Contrast Discrimination
- •20.4.1.3 Motion Perception
- •20.4.1.4 Depth Perception
- •20.4.2 Tests Used in Prosthesis Trials
- •20.4.3 Tests that Have Been Designed for Use with Prostheses
- •20.4.4 Vision Tests for Very Low Vision
- •20.5 Visual Performance Assessment
- •20.5.1 Measured Performance
- •20.5.2 Self-Reported Performance (Questionnaires)
- •20.6 Summary
- •References
- •21.1 Concepts of Functional Vision and Rehabilitation
- •21.1.1 Application to Orientation and Mobility
- •21.1.2 Application for Activities of Daily Living
- •21.1.3 Patient Lifestyle and Expectations
- •21.1.4 Congenital and Adventitious Vision Loss
- •21.2 Evaluation and Intervention with Prosthetic Vision
- •21.2.1 Evaluation
- •21.2.2 Intervention
- •21.3 Measuring Functional Outcomes
- •21.4 The Future
- •References
- •Author Index
- •Subject Index
268 |
P. Walter and G. Roessler |
induced with a visual prosthesis and to use the potential of visual system plasticity. Such data will be provided in the future with semichronic or chronic implants.
The three crucial questions asked at the beginning of the chapter can now been answered: (a) Yes, visual responses can be obtained through electrical stimulation of the retina. (b) The stimulus intensity necessary to elicit visual responses depends on several factors. Visual responses can be obtained within safe stimulation levels in certain scenarios. (c) The two-point discrimination and the perception of patterns using such an approach is under debate. In many acute trials there was not enough time for retinal stimulation to collect enough data to really answer this question. However, the chronic trials, that have already been initiated will answer the question in the near future.
References
1.Brindley GS, Lewin WS (1968), The sensations produced by electrical stimulation of the visual cortex. J Physiol 196: p. 479–493.
2.Cha K, Horch KW, Norman RA (1992), Simulation of a phosphene based visual field: visual acuity in a pixelized vision system. Ann Biomed Eng 20: p. 439–449.
3.Chen SJ, Mahadeveppa M, Roizenblatt R et al (2006), Neural responses elicited by electrical stimulation of the retina. Trans Am Ophthalmol Soc 104: p. 252–259.
4.Delbeke J, Pins D, Michaux G et al (2001), Electrical stimulation of anterior visual pathways in retinitis pigmentosa. Invest Ophthalmol Vis Sci 42: p. 291–297.
5.Dobelle WH, Mladejovsky MG (1974), Phosphenes produced by electrical stimulation of human occipital cortex, and their application to the development of a prosthesis for the blind.
J Physiol 243(2): p. 553–576.
6.Eckhorn R, Wilms H, Schanze T et al (2006), Visual resolution with retinal implants estimated from recordings in cat visual cortex. Vision Res 46: p. 2675–2690.
7.Gekeler F, Kobuch G, Schwahn HN et al (2004), Subretinal electrical stimulation of the rabbit retina with acutely implanted electrode arrays. Graefes Arch Clin Exp Ophthalmol 242(7): p. 587–596.
8.Gekeler F, Messias A, Ottinger M et al (2006), Phosphenes electrically evoked with DTL electrodes: a study in patients with retinitis pigmentosa, glaucoma, and homonymous visual field loss and normal subjects. Invest Ophthalmol Vis Sci 47: p. 4966–4974.
9.Hesse L, Schanze T, Wilms H et al (2000), Implantation of retina stimulation electrodes and
recording of electrical stimulation responses in the visual cortex of the cat. Graefes Arch Clin Exp Ophthalmol 238: p. 840–845.
10. Hornig R, Laube T, Walter P et al (2005), A method and technical equipment for an acute human trial to evaluate retinal implant technology. J Neural Eng 2: p. S129–S134.
11. Humayun MS, deJuan E (1998), Artificial vision. Eye 12: p. 605–607.
12. Humayun MS, deJuan E, Dagnelie G et al (1996), Visual perception elicited by electrical stimulation of the retina in blind humans. Arch Ophthalmol 114: p. 40–46.
13. Humayun MS, deJuan E, Weiland JD et al (1999), Pattern electrical stimulation of the human retina. Vision Res 39: p. 2569–2576.
14. Rizzo JF, Wyatt J, Loewenstein J et al (2003), Methods and perceptual thresholds for short term electrical stimulation of human retina with microelectrode arrays. Invest Ophthalmol Vis Sci 44: p. 5355–5361.
15. Rizzo JF, Wyatt J, Loewenstein J et al (2003), Perceptual efficacy of electrical stimulation of human retina with a microelectrode array during short term surgical trials. Invest Ophthalmol Vis Sci 44: p. 5362–5369.
13 Findings from Acute Retinal Stimulation in Blind Patients |
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16. Sachs HG, Gekeler F, Schwahn HN et al (2005), Implantation of stimulation electrodes in the subretinal space to demonstrate cortical responses in Yucatan minipig in the course of visual prosthetics development. Eur J Ophthalmol 4: p. 493–499.
17. Walter P, Heimann K (2000), Evoked cortical potentials after electrical stimulation of the inner retina in rabbits. Graefes Arch Clin Exp Ophthalmol 238: p. 315–318.
18. Walter P, Kisvarday Z, Goertz M et al (2005), Cortical activation via an implanted wireless retinal prosthesis. Invest Ophthalmol Vis Sci 46: p. 1780–1785.
19. Weiland JD, Humayun MS, Dagnelie G et al (1999), Understanding the origin of visual percepts elicited by electrical stimulation of the human retina. Graefes Arch Clin Exp Ophthalmol 237: p. 1007–1013.
Chapter 14
The Perceptual Effects of Chronic Retinal
Stimulation
Alan Horsager and Ione Fine
Abstract Can functional vision be restored in blind human subjects using a microelectronic retinal prosthesis? The initial indications suggest that, yes, it is possible. However, the visual experience of these subjects is nothing like a digital scoreboard-like movie, with each electrode acting as an independent pixel. The work described here in this chapter suggests that there are interactions between pulses and across electrodes, at the electrical, retinal, or even cortical level that influence the quality of the percept. In particular, this work addresses the question, “how does the percept change as a function of pulse timing on single and multiple electrodes”? The motivation for the work described here is that these interactions must be understood and predictable if we are to develop a functional tool for blind human patients. In this chapter, we review work evaluating perceptual effects using chronic electric stimulation in three different implantable systems.
Abbreviations
AltFC |
Alternative forced-choice |
AMD |
Age-related macular degeneration |
BLP |
Bare light perception |
ChR2 |
Channelrhodopsin-2 |
DS |
Direct stimulation |
IMI |
Intelligent medical implants |
IRI |
Intelligent retinal implant |
LGN |
Lateral geniculate nucleus |
LP |
Light perception |
A. Horsager (*)
Eos Neuroscience, Inc., 2100 3rd Street, 3rd floor, Los Angeles, CA 90057, USA and
Department of Ophthalmology, University of Southern California, Los Angeles, CA 90089, USA
e-mail: horsager@usc.edu
G. Dagnelie (ed.), Visual Prosthetics: Physiology, Bioengineering, Rehabilitation, |
271 |
DOI 10.1007/978-1-4419-0754-7_14, © Springer Science+Business Media, LLC 2011 |
|
272 |
A. Horsager and I. Fine |
MPDA |
Microphotodiode array |
NLP |
No light perception |
OCT |
Optical coherence tomography |
rd1 |
Retinal degeneration 1 |
RP |
Retinitis pigmentosa |
RPE65 |
Retinal pigment epithelium-specific 65 kDa protein |
SSMP |
Second Sight Medical Products, Inc. |
V1 |
Primary visual cortex |
VPU |
Visual processing unit |
14.1 Introduction
Visual impairment is one of the most common disabilities: at the most recent estimate, 110 million people worldwide have low vision and 40 million are blind [69]. Photoreceptor diseases such as retinitis pigmentosa (RP) and age-related macular degeneration (AMD) are responsible for blindness in approximately 15 million of those people [15], a number that continues to increase with the aging population [18]. Currently, there are no FDA approved treatments for blindness due to photoreceptor disease.
Although a number of highly promising treatments are being developed, each suffers from its own set of difficulties. For example, gene replacement therapy efforts have made great progress in treating one form of Leber’s Congenital Amaurosis (an RPE65 mutation) in humans [1, 2, 4, 7, 8, 52]; however, this form of RP is relatively rare, and photoreceptor diseases are genetically heterogeneous, with single and multi-gene mutations occurring in over 180 different genes responsible for photoreceptor function [19]. For gene replacement therapy to broadly cure photoreceptor disease would require at least as many (and, most likely, many more) treatments as there are mutations. Another genetic approach uses optical neuromodulators such as channelrhodopsin-2 (ChR2) that can be genetically targeted to retinal bipolar [41] or ganglion cells [10, 43] to restore visual responsiveness in a mouse model of blindness (rd1). However ChR2 activation requires light stimulation levels that are 5 orders of magnitude greater than the threshold of cone photoreceptors [63], and the induced light responses have a substantially limited dynamic range (2 log units) [72]. An ideal therapy would be able to treat blindness independently of the genetic mutation, in the absence of photoreceptors, and with reasonable response sensitivity and range.
Therapies employing direct electrical stimulation of the retina have the potential to fulfill those two particular constraints. However, electrical stimulation suffers from its own set of limitations. There are a number of engineering concerns such as charge density safety limits which limit the miniaturization of implanted electrodes, difficulties in placing the electrode array close to the target retinal cells, and limitations is in the available power supply that make prosthesis design extremely challenging. Electric current fields from relatively large electrodes indiscriminately
14 The Perceptual Effects of Chronic Retinal Stimulation |
273 |
Fig. 14.1 Patient percepts. Example percepts generated by retinal electrical pulse train stimulation in two blind subjects, S05 and S06, respectively, using the Second Sight Medical Products, Inc. A16 epiretinal prosthesis. Percepts (top) were hand drawn by experimenter based upon patient report. The electrodes that were stimulated for each condition are shown with solid dots. Stimulation patterns were 50 Hz pulse trains on each of the electrodes
drive local retinal circuits in an unnatural way, leading to complex retinal responses. Although electrically-driven retinal activation produces phosphenes in blind human subjects, these percepts are complex and cannot be simply thought of as a one to one, electrode to pixel, scoreboard-like experience with punctate individual phosphenes (Fig. 14.1).
There is a substantial literature evaluating the use of electrical stimulation to generate visual percepts in both sighted and blind human subjects [11, 22, 24, 35, 37, 42, 44, 45, 50, 53, 54, 61, 62, 75, 77]. However, partly because many of these studies were carried out acutely, there has not yet been a been a thorough quantitative and systematic analysis of how these electric pulses interact within the network of retinal neurons in time and space to form the visual image the subject sees. With the goal of creating a visual prosthesis that is capable of restoring functional vision in blind human patients, much needs to be learned about how the timing of pulses (within single electrodes and across multiple electrodes) interact at the electrical, retinal, and cortical level to form a percept.
There is relatively little published data quantitatively examining chronic retinal stimulation in human subjects. To date, only three commercial groups have been able to collect chronic data: Retinal Implant AG, Intelligent Medical Implants GmbH, and Second Sight Medical Products, Inc. To summarize their collective findings: (1) an electrode array can be safely and chronically implanted in human
