Formal Models of the Network Co-occurrence Underlying Mental Operations

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.

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