Figure 1.
Timing of the events in each trial of the HCL learning task.
Figure 2.
Left panel: Mean causal judgments across the four 64-trial blocks, for the two uncertainty conditions (MaxU; MidU). Right panel: Probability of a positive prediction (“the outcome will occur”) in the presence and the absence of the cue, averaged across trials, for each 32-trial sub-block and the two uncertainty conditions. Error bars denote standard errors of the mean.
Figure 3.
SPN-Outcome magnitude and SCP.
(a) Magnitude of the SPN-Outcome for the two uncertainty conditions during the prediction-outcome interval. Error bars denote standard errors of the mean. (b) SCP waveforms for the prediction-outcome interval in the selected electrodes and the two uncertainty conditions (MaxU, MinU). (c) Topographical map of the MaxU-MidU difference.
Table 1.
Brain locations in which current source density was significantly correlated (R2) with SPN-Outcome score, at least in one of the two uncertainty conditions (MaxU, MinU).
Figure 4.
Uncertainty x Payoff interaction on the SPN-Payoff score. Error bars denote standard errors of the mean.
Table 2.
Brain locations in which current source density was significantly correlated (R2) with SPN-Payoff score, at least in one of the two uncertainty conditions (MaxU, MinU).
Table 3.
Fitting-quality parameters, for the models of co-activation identified by SEM analysis1, and the two uncertainty conditions.
Figure 5.
Graphical depiction of SEM results: brain networks for uncertainty and expectancy.
Best-fitting models accounting for co-activation in the MaxU (top panel) and the MinU (bottom panel) conditions, according to the structural equation model (SEM) analysis. All the solid arrows are significant at p<.03. Dashed arrows, Model 1 p = .08, Model 2 p = .18.