A major challenge for neuroscience is to understand how the brain’s densely interconnected network of neurons—the “connectome”—gives rise to the rich repertoire of brain activity. The overarching aim of this project is to reveal how complex patterns of neural activity emerge from the connectome across the lifespan. This will entail using a novel combination of cutting-edge large-scale modelling of brain dynamics and state-of-the-art neuroimaging data (both structural and functional). There will be numerous applications depending interests, examples include: how ageing brain structure changes our brain activity; how noninvasive brain stimulation perturbs brain network activity; how disorders such as epilepsy, schizophrenia, or ADHD may emerge from biologically-plausible changes to model parameters; how flashing lights can can drive nonlinear brain responses with application to migraine; and developing novel analysis methods for complex spatiotemporal dynamics. This project would suit students with a background in physics, maths, or a related discipline, and an interest in computational neuroscience, with some experience in programming (e.g. in MATLAB).
- Suitable for PhD or Honours students.