Zitong Lu

Zitong Lu studies human visual perception and how it can be understood by comparing brain activity (measured with EEG and fMRI) to computer vision models such as neural networks. Research topics include face and object recognition, visual working memory, 3D perception, and how well artificial intelligence models align with human brain and behavioral data. This work combines cognitive psychology experiments with computational modeling to understand how the brain represents visual information over time.

Publication output has grown substantially over the past decade, rising from little to no output before 2020 to a steady pace of roughly 9-12 publications per year since 2023.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026