1 citations · 1 across the 6 of their papers we have counts for
6 papers
Mouse vs. AI: A Neuroethological Benchmark for Visual Robustness and Neural Alignment
Marius Schneider, Joe Canzano, Jing Peng +3
Visual robustness under real-world conditions remains a critical bottleneck for modern reinforcement learning agents. In contrast, biological systems such as mice show remarkable r…
Static or Temporal? Semantic Scene Simplification to Aid Wayfinding in Immersive Simulations of Bionic Vision
Justin M. Kasowski, Apurv Varshney, Michael Beyeler
Visual neuroprostheses (bionic eye) aim to restore a rudimentary form of vision by translating camera input into patterns of electrical stimulation. To improve scene understanding…
Efficient Spatial Estimation of Perceptual Thresholds for Retinal Implants via Gaussian Process Regression
Roksana Sadeghi, Michael Beyeler
Retinal prostheses restore vision by electrically stimulating surviving neurons, but calibrating perceptual thresholds (i.e., the minimum stimulus intensity required for perception…
Simulated prosthetic vision confirms checkerboard as an effective raster pattern for epiretinal implants
Justin M. Kasowski, Apurv Varshney, Roksana Sadeghi +1
Spatial scheduling of electrode activation ("rastering") is essential for safely operating high-density retinal implants, yet its perceptual consequences remain poorly understood.…
Predicting the Temporal Dynamics of Prosthetic Vision
Yuchen Hou, Laya Pullela, Jiaxin Su +4
Retinal implants are a promising treatment option for degenerative retinal disease. While numerous models have been developed to simulate the appearance of elicited visual percepts…
The Relative Importance of Depth Cues and Semantic Edges for Indoor Mobility Using Simulated Prosthetic Vision in Immersive Virtual Reality
Alex Rasla, Michael Beyeler
Visual neuroprostheses (bionic eyes) have the potential to treat degenerative eye diseases that often result in low vision or complete blindness. These devices rely on an external…