Identifying Coherent Subgraphs In Dynamic Brain Networks

Dynamic graphs are natural abstractions for modeling correlations in brain activity. These correlation graphs are constructed from time-series signals corresponding to neuronal activity in different regions of the brain over suitably selected time windows, by linking correlated regions via edges. An important problem in the context of these dynamic correlation graphs is the discovery of sets of re...