Analysis and understanding of complex systems

The talk provides an overview of my recent research. First the application of network analysis to large-scale software systems will be discussed. I will show that such methods can be useful for the better understanding of complex software and to provide guidance about the needed improvements in such software systems. Next I will talk about voltage-sensitive dye imaging of neurons and the computational analysis and modelling of neural systems. I will show that dopamine de-synchronises neurons in the crab stomatogastric ganglion (STG) and demonstrate the faithful computational modelling of the impact of dopamine on STG neurons. Finally I will talk about development of computational intelligence methods. I will describe a Bayesian interpretation of the particle swarm optimisation and a combined unsupervised - supervised learning method for learning high dimensional function