Tracing the evolutionary origin of cognitiveflexibility ruhrunibochum NatureComms
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Next, we fitted two alternative models to the participants’ actual behavioral responses to separately estimate the maximum a posteriori estimates of the free parameters. The fitting procedure started at a random initialization of the optimal value and proceeded iteratively as the value converged to the solution based on a computationally efficient quasi-Newton minimization algorithm implemented in the HGF toolbox.
The first GLM used to analyze the univariate BOLD effect included four regressors of interest per block, which accounted for trials in the four different phases of the task . This univariate GLM was used to test overall changes in BOLD responses after the reversals and during re-learning . To assess the prediction error-related signals, we included two parametric modulators in the univariate GLM.
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