Retinal prosthetic vision simulation: Temporal aspects

David Avraham, Jae Hyun Jung, Yitzhak Yitzhaky, Eli Peli

    Research output: Contribution to journalArticlepeer-review

    12 Scopus citations

    Abstract

    Objective. The perception of individuals fitted with retinal prostheses is not fully understood, although several retinal implants have been tested and commercialized. Realistic simulations of perception with retinal implants would be useful for future development and evaluation of such systems. Approach. We implemented a retinal prosthetic vision simulation, including temporal features, which have not been previously simulated. In particular, the simulation included temporal aspects such as persistence and perceptual fading of phosphenes and the electrode activation rate. Main results. The simulated phosphene persistence showed an effective reduction in flickering at low electrode activation rates. Although persistence has a positive effect on static scenes, it smears dynamic scenes. Perceptual fading following continuous stimulation affects prosthetic vision of both static and dynamic scenes by making them disappear completely or partially. However, we showed that perceptual fading of a static stimulus might be countered by head-scanning motions, which together with the persistence revealed the contours of the faded object. We also showed that changing the image polarity may improve simulated prosthetic vision in the presence of persistence and perceptual fading. Significance. Temporal aspects have important roles in prosthetic vision, as illustrated by the simulations. Considering these aspects may improve the future design, the training with, and evaluation of retinal prostheses.

    Original languageEnglish
    Article number0460D9
    JournalJournal of Neural Engineering
    Volume18
    Issue number4
    DOIs
    StatePublished - 1 Aug 2021

    Keywords

    • blind
    • perception
    • phosphene
    • prosthesis
    • retina
    • temporal
    • vision

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Cellular and Molecular Neuroscience

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