Rather than predicting perceptual distortions, one needs to solve the inverse problem: What is the best stimulus to generate a desired visual percept?
Anissa Carter
(she/they)
Promise Scholar
Computer Science
University of California, Santa Barbara
Anissa Carter is a Promise Scholar and second-year student in the Department of Computer Science. She is interested in applying computer science to the furtherment of the medical field.
In her spare time, she loves to swim, bike, and hike.
Education
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BS in Computer Science, 2025 (expected)
University of California, Santa Barbara
Project Affiliate
Publications
Evaluating deep human-in-the-loop optimization for retinal implants using sighted participants
We evaluate HILO using sighted participants viewing simulated prosthetic vision to assess its ability to optimize stimulation strategies under realistic conditions.
Eirini Schoinas, Adyah Rastogi, Anissa Carter, Jacob Granley, Michael Beyeler arXiv:2502.00177
