Fig. 1.

A schematic depiction of prediction generation via analogies and associations, as proposed in Bar (2007). An input (A′) activates an analogous representation in memory (A), which leads to the co-activation of associated representations (B, C, D) to generate predictions. The input may either be an external, sensory input, or an internally generated thought. Moreover, the input can be of different degrees of complexity, which may result in predictions that are of various levels of elaboration, encompassing the range from perceptual to executive predictions.

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