Functional subnetwork extraction is commonly employed to study the brain’s modular structure. However, reliable extraction from functional magnetic resonance imaging (fMRI) data remains challenging. As representations of brain networks, brain graph estimates are typically noisy due to the pronounced noise in fMRI data. Also, confounds, such as region size bias, motion artifacts, and signal drop...

Spectral analysis has been successfully applied at the detection of community structure of networks, respectively being based on the adjacency matrix, the standard Laplacian matrix, the normalized Laplacian matrix, the modularity matrix, the correlation matrix and several other variants of these matrices. However, the comparison between these spectral methods is less reported. More importantly,...

The modular approach to language in its career of 30 years had alternating and rivaling views regarding the place pragmatics. A first basically is one outlined by Fodor (1983) that would pack pragmatic aspects use under rubric mushy General Problem Solver component architecture, thus extracting it from considerations modularity altogether. rival Massive Modular approaches such as Dan Sperber’s ...