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A comparison of observation data and model predictions. ABC PM is ABC posterior mean. Top: Predictions based on manually tuned parameters compared to observation data. Bottom: Predictions based on parameters fit with an automatic inference method (here posterior mean from approximate Bayesian computation) compared to observation data. “Height” refers to the difficulty of the mental task in the experiment that was originally modeled.
