Clustering and segmentation in a network of coupled oscillators

Michal Zochowski, Physics, University of Michigan

We use the asymmetric temporal interdependencies between the elements of the network build of non-identical Rossler oscillators, to drive (at the same time) population clustering and fragmentation. It is thought that interaction of similar processes underlie learning and memory formation in the brain. We characterize the interaction between the network dynamics and the changes in network architecture as a function of relative strengths of those two components and noise amplitude.