Judith Fan

Assistant Professor (start date 7/1/19)

My research addresses questions at the intersection of cognitive science, computational neuroscience, and AI. As a central case study, I have been focusing 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. My 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.

  • Fan J., Yamins D., & Turk-Browne, N. (2018) Common object representations for visual production and recognition. Cognitive Science.
  • Fan, J., Hutchinson, J., and Turk-Browne, N. (2016) When past is present: Substitutions of long-term memory for sensory evidence in perceptual judgments. Journal of Vision. 16(8): 1-12.
  • Fan, J. (2015) Drawing to learn: how producing graphical representations enhances scientific thinking. Translational Issues in Psychological Science. 1(2), 170-181
  • Fan, J. and Turk-Browne N. (2013) Internal attention to features in visual short-term memory guides object learning. Cognition, 129(2), 292-308.

Updated Aug 2018