Data from: Dynamics of mesoscale brain network during decision-making learning revealed by chronic, large-scale single-unit recording

Associating unfamiliar stimuli with appropriate behavior through
experience is crucial for survival. While task-relevant information has
been found to be distributed across multiple brain regions, how regional
nodes in this distributed network reorganize their functional interactions
throughout learning remains to be elucidated. Here, we performed chronic,
large-scale single-unit recording across 10 cortical and subcortical
regions using ultra-flexible microelectrode arrays in mice performing a
visual decision-making task and tracked mesoscale functional network
dynamics throughout learning. Task learning reshaped interregional
functional connectivity, leading to the emergence of a subnetwork
involving visual and frontal regions during the acquisition of correct
No-Go responses. This reorganization was accompanied by a more widespread
representation of visual stimulus across regions, and a region’s network
rank strongly predicted its peak timing of visual information encoding.