The Kerr Lab uses detailed, large-scale models to improve our understanding of how complex systems behave. In neuroscience, this entails using biomimetic spiking network models to explain the computations performed by the sensorimotor system. In epidemiology, it involves the development of HIV transmission models to predict the optimal allocation of resources.
To support this research, our lab is also interested in developing new mathematical and computational methods, including nonlinear optimization algorithms and approaches for quantifying nonparametric distributions.
Funding for the lab is provided by the Australian Research Council (for neuroscience), DARPA (also for neuroscience), and the World Bank (for epidemiology).
To support this research, our lab is also interested in developing new mathematical and computational methods, including nonlinear optimization algorithms and approaches for quantifying nonparametric distributions.
Funding for the lab is provided by the Australian Research Council (for neuroscience), DARPA (also for neuroscience), and the World Bank (for epidemiology).
Chick cerebellum (Ramon y Cajal, 1905)
Nonlinear optimization (Kerr & Smolinksi, 2014)