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A central question in cognitive neuroscience is how cognitive functions depend on the integration of specialized widely distributed brain regions. In recent years, graph theoretical methods have been used to characterize the structure of the brain functional connectivity. In order to understand the organization of functional connectivity networks, it is important to determine the community structure...
In neurophysiological studies, it is important to infer the functional networks underlying the observed physiological data. In recent years, measures of functional connectivity as well as tools from graph theory have characterized the human brain as a complex network composed of segregated modules linked by short path lengths. However, the current studies of functional connectivity focus on either...
Joint time-frequency representations offer a rich representation of event related potentials (ERPs) that cannot be obtained through individual time or frequency domain analysis. This rich representation, however, comes at the expense of increased data volume and the difficulty of interpreting the resulting representations. Therefore, methods that can reduce the large amount of time-frequency data...
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