Paul C Bressloff
Professor of Mathematical and Computational Neuroscience
Department of Mathematics, University of Utah

The main focus of my research is to understand how the brain functions as a complex dynamical system at multiple spatial and temporal scales. My work draws upon a wide range of ideas and methods in applied mathematics and theoretical physics including dynamical systems theory, partial differential equations, stochastic processes, nonequilibrium statistical physics, and molecular biophysics.

Current projects include the following: diffusion-trapping models of protein receptor trafficking and its role in synaptic plasticity; stochastic models of molecular motor-driven transport in neurons with particular applications to synaptic plasticity and neurodegeneration; modelling spontaneous oscillations and waves in cortical networks with particular applications to early development and epilepsy; recurrent network models of primary visual cortex.

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