Forming attitudes via neural activity supporting affective episodic simulations

Roland G. Benoit (), Philipp C. Paulus and Daniel L. Schacter
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Roland G. Benoit: Max Planck Institute for Human Cognitive and Brain Sciences
Philipp C. Paulus: Max Planck Institute for Human Cognitive and Brain Sciences
Daniel L. Schacter: Harvard University

Nature Communications, 2019, vol. 10, issue 1, 1-11

Abstract: Abstract Humans have the adaptive capacity for imagining hypothetical episodes. Such episodic simulation is based on a neural network that includes the ventromedial prefrontal cortex (vmPFC). This network draws on existing knowledge (e.g., of familiar people and places) to construct imaginary events (e.g., meeting with the person at that place). Here, we test the hypothesis that a simulation changes attitudes towards its constituent elements. In two experiments, we demonstrate how imagining meeting liked versus disliked people (unconditioned stimuli, UCS) at initially neutral places (conditioned stimuli, CS) changes the value of these places. We further provide evidence that the vmPFC codes for representations of those elements (i.e., of individual people and places). Critically, attitude changes induced by the liked UCS are based on a transfer of positive affective value between the representations (i.e., from the UCS to the CS). Thereby, we reveal how mere imaginings shape attitudes towards elements (i.e., places) from our real-life environment.

Date: 2019
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DOI: 10.1038/s41467-019-09961-w

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