Supplementary Figure 2: Hierarchical Bayesian model recovers simulated learning parameters.
From: Neural computations of threat in the aftermath of combat trauma
To validate our Hierarchical Bayesian hybrid model before testing it in the clinical dataset, we simulated skin conductance data in 20 participants. We estimated the initial associability α0, κ, the normalization factor, and η, the prediction-error weight. a. Simulated data in 20 subjects. b. Correlations between estimated and simulated values. The Bayesian model successfully recovered the simulated values. Pearson correlation coefficients with two-tailed significance tests are shown. Error shadings correspond to standard errors. c. Estimated parameters with 90% credible intervals and simulated parameters. All simulated parameters were within the 90% credible intervals of the estimated parameters, indicating successful parameter recovery. ***, P < 0.001.
