Work

Human-in-the-loop optimization of neural encoding strategies for visual neuroprostheses

Year: 2025

Type: conference-paper

Abstract: Objective: To improve the perceptual experience of patients using visual neuroprostheses by optimizing patient-specific stimulation parameters through a deep neural network encoder combined with human-in-the-loop Bayesian optimization. Materials and Methods: We trained a deep neural network encoder [for full text, please go to the a.m. URL]

Source: German Medical Science (German Research Foundation)

DOI: 10.3205/24artvis42

Authors: Beyeler, Michael, Granley, J., Lozano, A., Soto, C., Grani, F., Rodil, A., Fernandez, E.

Institutions: University of California, Santa Barbara, Universitat de Miguel Hernández d'Elx, Netherlands Institute for Neuroscience

Language: English

Topic: Neuroscience and Neural Engineering

Subfield: Cellular and Molecular Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W6909028144

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