Signed reward prediction errors drive declarative learning

Esther De Loof, Kate Ergo, Lien Naert, Clio Janssens, Durk Talsma, Filip Van Opstal and Tom Verguts

PLOS ONE, 2018, vol. 13, issue 1, 1-15

Abstract: Reward prediction errors (RPEs) are thought to drive learning. This has been established in procedural learning (e.g., classical and operant conditioning). However, empirical evidence on whether RPEs drive declarative learning–a quintessentially human form of learning–remains surprisingly absent. We therefore coupled RPEs to the acquisition of Dutch-Swahili word pairs in a declarative learning paradigm. Signed RPEs (SRPEs; “better-than-expected” signals) during declarative learning improved recognition in a follow-up test, with increasingly positive RPEs leading to better recognition. In addition, classic declarative memory mechanisms such as time-on-task failed to explain recognition performance. The beneficial effect of SRPEs on recognition was subsequently affirmed in a replication study with visual stimuli.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0189212

DOI: 10.1371/journal.pone.0189212

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