[6/6] Our study highlights the dynamic nature of cognitive control, revealing how the brain adaptively reconfigures information in complex environments. These results demonstrate that neural geometry shifts flexibly, balancing generalization and information complexity across task stages.

[5/6] RSA revealed that activity patterns coding task demands generally followed a parallel geometry, supporting the transfer of information across contexts. At target onset, there was a shift toward an orthogonal configuration, likely minimizing interference between stimulus and response factors.

[4/6] Instruction content was encoded in distributed EEG signals, with overall task demands displaying more stable patterns. Further, neural codes exhibited both high abstraction, generalizing across conditions,and high and variable dimensionality, suggesting flexible expansion-compression dynamics.

[3/6] Participants followed instructions that involved a novel re-combination of components. These were, the higher-level task demand of integrating or segregating information, the stimulus category, and the relevant feature to attend.

[2/6] Research shows that the patterns of activity of neurons coding task-relevant information evolve dynamically to support flexible behavior. Our work temporally characterized the content encoded in these neural patterns and elucidated its underlying configuration in novel settings.