Computational Modeling of Neural Activities for Statistical Inference by Antonio Kolossa

Author:Antonio Kolossa
Language: eng
Format: epub, pdf
Publisher: Springer International Publishing, Cham

), SQU (

), and MAR (

) models. a Parameters for the experimental condition. b Parameters for

The lower panel shows predictive surprise (1.​20) based on the DIF and MAR models. For both models, the main property of predictive surprise becomes apparent: If an event with a high probability is observed, it causes small surprise, while the observation of an event with a low probability is accompanied by increasing surprise values. The tendency of the DIF model toward less extreme values than the MAR model, which was shown in the upper and middle panels, clearly persists for predictive surprise as well. The effect of alternation expectation further discriminates the two models as shown in the middle panel. One such distinctive area is magnified for better perceptibility. Predictive surprise based on the MAR model decreases monotonously, while predictive surprise based on the DIF model increases slightly before it decreases as well.

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