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Dataset Information

Transformation of Event Representations along Middle Temporal Gyrus.


ABSTRACT: When learning about events through visual experience, one must not only identify which events are visually similar but also retrieve those events' associates-which may be visually dissimilar-and recognize when different events have similar predictive relations. How are these demands balanced? To address this question, we taught participants the predictive structures among four events, which appeared in four different sequences, each cued by a distinct object. In each, one event ("cause") was predictably followed by another ("effect"). Sequences in the same relational category had similar predictive structure, while across categories, the effect and cause events were reversed. Using functional magnetic resonance imaging data, we measured "associative coding," indicated by correlated respons

SUBMITTER: Leshinskaya A 

PROVIDER: S-EPMC7197199 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature