Judith Fan

Our lab's research addresses questions at the intersection of cognitive science, computational neuroscience, and AI. As a central case study, our recent investigations focus on human visual communication, which encompasses behaviors ranging from informal sketching to formal scientific visualization and its applications in education, user interface design, and assistive technologies. Our goal in building computational models of such behaviors is to understand how perception, memory, motor planning, and social cognition functionally interact in the brain, leading to a more unified understanding of how multiple cognitive systems are coordinated during complex, natural behaviors.

• Hawkins R., Sano, M., Goodman N., & Fan J. (2019). Graphical convention formation during visual communication. Proceedings of the 41st Annual Meeting of the Cognitive Science Society.
• Fan. J., Hawkins R., Wu M., & Goodman N .(2019) Pragmatic inference and visual abstraction enable contextual flexibility during visual communication. Computational Brain & Behavior.
• Fan, J., Wammes, J., Gunn, J., Yamins, D., Norman, K., and Turk-Browne, N. Relating visual production and recognition of objects in human visual cortex. bioRxiv.
• Long, B., Fan, J., Chai, R., and Frank, M. (2019). Developmental changes in the ability to draw distinctive features of object categories. Proceedings of the 41st Annual Meeting of the Cognitive Science Society.
• Mukherjee, K., Hawkins, R., and Fan, J. (2019). Conveying semantic part information in drawings. Proceedings of the 41st Annual Meeting of the Cognitive Science Society.
• Fan J., Yamins D., & Turk-Browne, N. (2018) Common object representations for visual production and recognition. Cognitive Science, 42(8), 2670-2698.

Updated September 2019