most citedA Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

eess.IV2023★ 6 cited

A Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation

Yuli Wu, Ivan Karetic, Johannes Stegmaier +2

We propose a neural network-based framework to optimize the perceptions simulated by the in silico retinal implant model pulse2percept. The overall pipeline consists of a trainable…