What is the difference between a positive and a negative prediction error?
A)A positive prediction error signals a reward, whereas a negative prediction error signals a punishment.
B)A positive prediction error follows an expected reward, whereas a negative prediction error follows an unexpected reward.
C)A positive prediction error signals fear, whereas a negative prediction error signals the absence of fear.
D)A positive prediction error strengthens the association between a cue and a stimulus, whereas a negative prediction error weakens the association.

Question

Quizplus · Accepted Answer

A positive prediction error occurs when the outcome is better than expected, leading to a strengthening of the association between a cue and a stimulus. Conversely, a negative prediction error happens when the outcome is worse than expected, weakening the association.

What Is the Difference Between a Positive and a Negative