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. 2014 Jul 11;8:69. doi: 10.3389/fncom.2014.00069

Figure 4.

Figure 4

Bayesian surprise. The PRO model reproduces the pattern of activity observed in ACC based on local estimates of the likelihood of observing STOP or GO trials in a stop signal task. Activity at the onset of a GO trial is higher when the estimated likelihood of observing a STOP trial is high. Conversely, activity at the onset of a STOP trial is higher when the estimated likelihood of a STOP trial is believed to be low.