Paul Bays

Paul Bays is a Fellow at the University of Cambridge, affiliated with the School of Biological Sciences and the Department of Psychology. His research focuses on computational cognitive science, human behaviour, visual perception, working memory, and eye movements. He employs techniques such as psychophysics, behavioural testing, mathematical modelling, and high-performance computing to explore the internal representations and computations underlying behavioural goals. His work also involves collaboration on neural recordings in rodents and non-human primates to study vision, visually-guided action, and working memory.

Paul Bays is a Professor of Computation and Cognition at the University of Cambridge, specializing in the study of working memory, sensory prediction, neural coding, visual perception, and Bayesian efficient coding. His research explores how cognitive systems manage limited resources, particularly in visual working memory, and how sensory prediction deficits may contribute to conditions like schizophrenia. Bays investigates the neural mechanisms underlying memory precision, binding, and consolidation, with a focus on computational principles that minimize uncertainty and variability in sensorimotor control. His work integrates neuroimaging and computational modeling to understand how the brain processes and stores information.