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Humans can quickly learn to efficiently execute tasks yet how the brain activity is dynamically reconfigured during this process remains unknown. Here the authors demonstrate that large-scale functional brain networks are reorganized flexibly to support rapid task automation.
In mouse cortex, ‘preparatory’ activity that encodes future movements is remarkably robust against large-scale perturbations; this robustness is achieved by corrective signals from unperturbed parts of the network.