Dr. Victoria Booth

Biography

Victoria Booth is a Professor and Associate Chair at the University of Michigan's Department of Mathematics. Her research focuses on the application of mathematical modeling techniques to further understand brain functions. She employs modeling across spatial and temporal scales, ranging from single neurons to large-scale neuronal network models, as well as population network models of different brain areas. A consistent theme in her research is utilizing mathematical modeling to understand the physiological mechanisms that generate experimentally observed neural activity. This work aims to provide the neuroscience community with theoretical frameworks for rigorous quantitative investigations and development of experimentally testable predictions. Current projects are centered on understanding the neural control of sleep and wake states, with investigations into dynamic neuromodulation within the hippocampal cortical network activity that underlies learning and memory. She utilizes mathematical techniques such as differential equations, nonlinear dynamics, and numerical simulations.

Research Interests