Paul Bressloff
Paul Bressloff explores a range of visual processes using mathematic and simulation tools. In a strong collaboration with the Angelucci Lab, they have developed new recurrent network models for visual cortex that may explain how we see objects as separate from complex backgrounds. The Bressloff group also studies cortical development by creating activity-based models of the self-organization of visual cortex into functional modules. These studies provide novel opportunities to identify hidden features of cortical systems for further physiological and anatomic analysis.
Maps of recurrent pathways in visual cortex.
Education: Ph.D., Department of Mathematics, King's College, London University, England
Academic Appointments: Professor of Mathematics; Professor of Ophthalmology (Adjunct)—University of Utah School of Medicine