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Video s3
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    Presenter(s)
    Tayebeh Yousefi Headshot
    Display Name
    Tayebeh Yousefi
    Affiliation
    Affiliation
    York University
    Country
    Author(s)
    Display Name
    Tayebeh Yousefi
    Affiliation
    Affiliation
    York University
    Display Name
    Hossein Kassiri
    Affiliation
    Affiliation
    York University
    Abstract

    Precise control of neuronal pathways is of critical importance for the efficacy of neuro-modulation prostheses designed to restore vision in patients with retinal degeneration. We present a biologically-informed computational framework that enables the generation of pathway-specific spiking patterns for RGCs. The model is used to generate control signals for implantable optical retinal neurostimulator device to modulate genetically-modified RGCs, thus enable cell-type-specific neural excitation. The model is used to compare electrical and optical neuro-stimulations with respect to the quality of visual perception they induce in the brain for the same visual stimulus which shows significantly better results for optical stimulation.

    Slides
    • A Biologically-Informed Computational Framework for Pathway-Specific Spiking Patterns Generation and Efficacy Evaluation in Retinal Neurostimulators (application/pdf)