Departments of Neurobiology and Statistics, and the College
Brent Doiron’s research focuses on a combination of nonlinear dynamics and statistical mechanics, with an emphasis on the genesis and transfer of variability in neural circuits. He has developed core theoretical insights that have made contributions to a variety of sensory systems. Throughout his research career, he has collaborated with experimental colleagues who work in the electrosensory, olfactory, somatosensory, auditory, and visual systems.
He is the recipient of several awards, including an Alfred P. Sloan Research Fellowship in Neuroscience, a Vannevar Bush Faculty Fellowship, and a Chancellor’s Distinguished Research Award from the University of Pittsburgh. His work has been published in Nature, Nature Neuroscience, Neuron, Nature Communications, Proceedings of the National Academy of Sciences, Journal of Neuroscience, Physical Review Letters, Current Opinion in Neurobiology, Cerebral Cortex, PLOS Computational Biology, and eLife.
Doiron received a PhD in physics from the University of Ottawa and completed a postdoctoral fellowship at the Center for Neural Science at New York University. He was previously a professor of mathematics at the University of Pittsburgh, and he was co-director of the Program in Neural Computation at the Neuroscience Institute at Carnegie Mellon University.