Objects And Knowledge Lab

Welcome to the Objects and Knowledge Laboratory, the website for Olivia Cheung's laboratory at New York University Abu Dhabi.

The OAK Lab studies object recognition and perceptual expertise, using primarily a combination of behavioral, functional magnetic resonance imaging (fMRI), and computational methods.

The general research goal of the lab is to understand how the human brain perceives the visual world, and how such processes are influenced by experience and learning. We study this broad question by examining how visual and conceptual knowledge interact to constrain representations of various categories, including objects, faces, words, musical notations, and scenes.

Several ongoing research projects include:

How do socio-emotional factors influence face recognition?

How do different types of conceptual knowledge influence recognition of objects and scenes?

To what extent is category selectivity in the brain influenced by conceptual knowledge?

How does the brain accommodate the acquisition of perceptual expertise for multiple categories?

See a recent NYUAD feature article about the lab's research:

Making sense of the way the brain makes sense

See our presentations at V-VSS 2022:

He, C., & Cheung, O.S. Ensemble representation for animacy: Effects of shape and category. [abstract, poster]

Zhang, T.B., Jin, H., Erdi, A., & Cheung, O.S. Is holistic word processing influenced by word meaning? [abstract, poster]

Jintcharadze, D., & Cheung, O.S. Predicting election outcome by a human face. [abstract, poster]

Podmokly, J., & Cheung, O.S. Roles of animacy, object size, and context on object representations in the occipitotemporal cortex. [abstract, poster]

Cheung, O.S., & He, C. Functional connectivity and representational content of tool category and elongation in tool-selective parietal cortex. [abstract, talk]