Journal of Vision Cover Image for Volume 25, Issue 5
April 2025
Volume 25, Issue 5
Open Access
Optica Fall Vision Meeting Abstract  |   April 2025
Invited Session II: Visual Prosthetics: Artificial vision via high-channel-count visual cortical stimulation in primates
Author Affiliations
  • xing chen
    university of pittsburgh
Journal of Vision April 2025, Vol.25, 12. doi:https://doi.org/10.1167/jov.25.5.12
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      xing chen; Invited Session II: Visual Prosthetics: Artificial vision via high-channel-count visual cortical stimulation in primates. Journal of Vision 2025;25(5):12. https://doi.org/10.1167/jov.25.5.12.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Blindness affects 40 million people worldwide, and a neuroprosthesis may restore functional vision in the future. We developed a 1024-channel, chronically implantable prosthesis for the monkey visual cortex, using electrical stimulation to elicit percepts of dots of light (‘phosphenes’) across hundreds of electrodes. Phosphene locations matched the receptive fields of stimulated neurons, and V4 activity predicted phosphene detection during stimulation in V1. Next, we stimulated multiple electrodes simultaneously to generate percepts composed of multiple phosphenes. The monkeys could immediately recognize simple phosphene shapes, directions of motion, and letters. We developed techniques such as semi-automatic phosphene mapping and current thresholding, to expedite calibration of a prosthesis. Finally, we tested and validated several of our stimulation and calibration methods in blind human volunteers, demonstrating the potential of electrical stimulation to restore life-enhancing vision in the blind.

Footnotes
 Funding: NWO (STW Grant Number P15-42 'NESTOR'; ALW Grant Number 823-02-010 and Cross-over Grant Number 17619 'INTENSE'). European Union (ERC Grant Numbers 339490 'Cortic_al_gorithms' and 101052963 'NUMEROUS,' H2020 Research and Innovation programme Grant Number 899287 'NeuraViper'). The Human Brain Project (Grant Number 650003). BrainLinks-BrainTools, Cluster of Excellence funded by the German Research Foundation (DFG, EXC 1086).
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