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

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]