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?
Adriano Lima is a volunteer research assistant in the lab and a recent UC Santa Barbara graduate with a BS in Psychological & Brain Sciences. He is passionate about work at the intersection of neuroscience and artificial intelligence, focusing on computational models for robust vision grounded in neural data. More broadly, he is curious about topics ranging from the philosophy of mind to computational neuroscience and beyond.
Outside of the lab, he enjoys music, video games, and spending time in nature.
BS in Psychological & Brain Sciences, 2025
University of California, Santa Barbara
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?