The development of mathematical models and computational analyses of the neural systems.
Computational Neuroscience complements experimental neuroscience, by helping to integrate, and provide a deeper analysis of, different experimental results. For example, it is through mathematical modeling that we can better understand how learning takes place in different parts of the brain.
Our research goals are to develop this understanding using a mathematical framework.
Our current research projects include modelling and analysing:
- The dynamic behaviour of the brain
- Learning in the brain
- Particular circuits within the brain.