Perception & Action Lab

Computational modeling

Computational modeling work focuses on constructing Bayesian theories of both the information in images that is, in theory, available to the brain (ideal observer models) for performing tasks and similar theories of how the brain uses the information to make perceptual inferences about objects in scenes (Bayesian observer models) and to guide motor actions (like reaching for objects). Using a common mathematical framework for modeling how a task can be performed in theory (theories of competence) and how humans actually perform the tasks (theories of performance) allows us to determine what aspects of human performance are determined by the structure of available visual information and of task demands and what are due to limitations in how the brain represents and does computations on visual information.