Rather than predicting perceptual distortions, one needs to solve the inverse problem: What is the best stimulus to generate a desired visual percept?
Xiankun Lu is currently a third-year undergraduate student pursuing a Physics degree at UC Santa Barbara. Before joining the lab, he worked as a Data Scientist in the High-Energy Physics research lab.
Outside of lab, he enjoys philosophy, piloting, and symphonies. He has also been volunteering with the Physics Circus.
Honors & Awards
- Dean’s List 2020
Education
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BS in Physics, 2024 (expected)
University of California, Santa Barbara
Project Affiliate
Publications
Predicting the temporal dynamics of prosthetic vision
We introduce two computational models designed to accurately predict phosphene fading and persistence under varying stimulus conditions, cross-validated on behavioral data reported by nine users of the Argus II Retinal Prosthesis System.
Yuchen Hou, Laya Pullela, Jiaxin Su, Sriya Aluru, Shivani Sista, Xiankun Lu, Michael Beyeler arXiv
(Note: YH an LP contributed equally to this work.)
