Galen Pogoncheff

The study presents a percept-aware surgical planning framework for cortical visual prostheses that treats 3D electrode coordinates as learnable parameters and optimizes them end-to-end through a differentiable forward model of prosthetic vision on FreeSurfer fsaverage folded cortical geometry, minimizing task-level perceptual error subject to vascular avoidance and gray matter feasibility constraints; on simulated MNIST reading and CIFAR-10 natural image tasks it consistently improved reconstruction fidelity over visual field tiling and visual field coverage baselines (median MSE reductions of up to 67.7% and 33.4% on MNIST, with downstream classification accuracy gains of 62.6% and 22.4%), eliminated all 300 µm safety-margin violations with only 1.7% (MNIST) and 4.

The study presents a percept-aware surgical planning framework for cortical visual prostheses that treats 3D electrode coordinates as learnable parameters and optimizes them end-to-end through a differentiable forward model of prosthetic vision on FreeSurfer fsaverage folded cortical geometry, minimizing task-level perceptual error subject to vascular avoidance and gray matter feasibility constraints; on simulated MNIST reading and CIFAR-10 natural image tasks it consistently improved reconstruction fidelity over visual field tiling and visual field coverage baselines (median MSE reductions of up to 67.7% and 33.4% on MNIST, with downstream classification accuracy gains of 62.6% and 22.4%), eliminated all 300 µm safety-margin violations with only 1.7% (MNIST) and 4.