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A Bayesian hierarchical model of trial-to-trial fluctuations in decision criterion

Fig 6

The recovered posterior distributions from hMFC with the criterion estimated as AR(1) or assumed to be fixed (i.e., no fluctuations are estimated).

When criterion fluctuations are present but not estimated the posterior estimates for are inflated (A) whereas for they are underestimated (B). In contrast, when the criterion fluctuations are accounted for with hMFC we see a correct recovery of the posterior estimates for both parameters. Estimating criterion fluctuations with hMFC therefore helps to address biases in these parameters.

doi: https://doi.org/10.1371/journal.pcbi.1013291.g006