ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2021
A Computational Model of Phosphene Appearance for Epiretinal Prostheses.
Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
17 citing papers in PubMed.
- Evaluating the Efficacy of Smart Saliency Detection System for Visual Prosthesis Users: An Experimental Comparison Across Various Visual Prosthesis Implants.Artificial organs · 2026Article
- Fuzzing the brain: automated stress testing for the safety of ML-driven neurostimulation.Journal of neural engineering · 2026Article
- Simulated prosthetic vision confirms checkerboard as an effective raster pattern for epiretinal implants.Journal of neural engineering · 2025Article
- Evaluating Deep Human-in-the-Loop Optimization for Retinal Implants Using Sighted Participants.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025Article
- Machine Learning Techniques for Simulating Human Psychophysical Testing of Low-Resolution Phosphene Face Images in Artificial Vision.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Static or Temporal? Semantic Scene Simplification to Aid Wayfinding in Immersive Simulations of Bionic Vision.Proceedings of the ACM Symposium on Virtual Reality Software and Technology. ACM Symposium on Virtual Reality Software and Technology · 2025Article
- Aligning Visual Prosthetic Development With Implantee Needs.Translational vision science & technology · 2024Article
- Aligning visual prosthetic development with implantee needs.medRxiv : the preprint server for health sciences · 2024Article
- Predicting the Temporal Dynamics of Prosthetic Vision.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024Article
- A Phosphenotron Device for Sensoric Spatial Resolution of Phosphenes within the Visual Field Using Non-Invasive Transcranial Alternating Current Stimulation.Sensors (Basel, Switzerland) · 2024Article
- Axonal stimulation affects the linear summation of single-point perception in three Argus II users.Journal of neural engineering · 2024Article
- Explainable machine learning predictions of perceptual sensitivity for retinal prostheses.Journal of neural engineering · 2024Article
- Axonal stimulation affects the linear summation of single-point perception in three Argus II users.medRxiv : the preprint server for health sciences · 2023Article
- Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses.Advances in neural information processing systems · 2023Article
- Non-invasive transcranial alternating current stimulation of spatially resolved phosphenes.Frontiers in neuroscience · 2023Article
- Hybrid Neural Autoencoders for Stimulus Encoding in Visual and Other Sensory Neuroprostheses.Advances in neural information processing systems · 2022Article
- Sequential epiretinal stimulation improves discrimination in simple shape discrimination tasks only.Journal of neural engineering · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Retinal neuroprostheses are the only FDA-approved treatment option for blinding degenerative diseases. A major outstanding challenge is to develop a computational model that can accurately predict the elicited visual percepts (phosphenes) across a wide range of electrical stimuli. Here we present a phenomenological model that predicts phosphene appearance as a function of stimulus amplitude, frequency, and pulse duration. The model uses a simulated map of nerve fiber bundles in the retina to produce phosphenes with accurate brightness, size, orientation, and elongation. We validate the model on psychophysical data from two independent studies, showing that it generalizes well to new data, even with different stimuli and on different electrodes. Whereas previous models focused on either spatial or temporal aspects of the elicited phosphenes in isolation, we describe a more comprehensive approach that is able to account for many reported visual effects. The model is designed to be flexible and extensible, and can be fit to data from a specific user. Overall this work is an important first step towards predicting visual outcomes in retinal prosthesis users across a wide range of stimuli.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.