Recent advances in neuroimaging, using diffusion tensor imaging, allow us to observe how the human brain network differs over ages ranging from the embryonic to the adult stage. Our objectives are to develop a simulation of human brain development, to analyse network features of human brains at different developmental stages, and to compare simulations with real data to discover the underlying mechanisms for brain network development. 

Understanding how parameters lead to network features will help to evaluate the contribution of these parameters to healthy and pathological development. In addition to understanding the formation of human cognitive systems, these results will inform the design and update of artificial information processing systems.