The neural dynamics associated with computational complexity
Fig 4
Mean effect estimate (β) of each ROI against time in trial. The effect at each time point represents the mean βFIR over all of the voxels from each ROI: right AI (a), dACC (b), and right IPS cluster extending to the angular gyrus (c). The βFIR’s characterize the coefficients of an FIR regression with four conditions: accuracy×TCC in the top panels, and accuracy×satisfiability in the bottom panels. The βFIR parameters are aligned to the BOLD signal, which has a lag with respect to the task time. The gray vertical lines represent the task events assuming a 5-second BOLD signal lag. Below the mean ROI effects, the second and fourth rows of figures show the accuracy contrasts (βcorrect − βincorrect) for different levels of TCC or satisfiability. Red stars represent significance at a 0.05 significance level.