Our paper in Plos Computational biology is out:
We contribute a multivariate statistical learning approach that can extract the major brain networks and quantify their configuration during various psychological tasks. The method is validated in two datasets by model-based generation of synthetic activity maps from recombination of shared network topographies. We demonstrate that task-specific neural activity patterns can be explained by plausible combinations of resting-state networks.
See https://hal.archives-ouvertes.fr/hal-01338307 for more information
