Rather than aiming to one day restore natural vision, we might be better off thinking about how to create practical and useful artificial vision now.
Rather than aiming to one day restore natural vision, we might be better off thinking about how to create practical and useful artificial vision now.
Rather than predicting perceptual distortions, one needs to solve the inverse problem: What is the best stimulus to generate a desired visual percept?
How does the brain extract relevant visual features from the rich, dynamic visual input that typifies active exploration, and how does the neural representation of these features support visual navigation?
Neuromorphic event-based vision sensors may soon power low vision aids and retinal implants, where the visual scene has to be processed quickly and efficiently before it is displayed.
Kimia Afshari
MS Student
Sriya Aluru
Research Assistant
Cheng Han (Johnson) Chan
Research Assistant
Justin Chung
Research Assistant
Jacob Granley
PhD Candidate
Isaac Hoffman
Research Assistant
Nandini Iyer
SEEDS Fellow
Ethan Meade
DIMAP Student
Julia Novick
Research Assistant
Galen Pogoncheff
PhD Student
Laya Pullela
Research Assistant
Shivani Sista
Research Assistant
Madori Spiker
MS Student
Jiaxin Su
Research Assistant
Dharynka Tapia
SEEDS Fellow
Eyob Teshome
SEEDS Fellow
Aiwen Xu
PhD Candidate
Luke Yoffe
Research Assistant