Evidence map›Paper›PMID 34131890›Full record

ArticlePsychonomic bulletin & review2021

Reward prediction errors drive declarative learning irrespective of agency.

Kate Ergo, Luna De Vilder, Esther De Loof, Tom Verguts

Abstract read
PubMed Publisher
In one paragraph

Article in Psychonomic bulletin & review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. An Adaptive Motivation Approach to Understanding the 'How' and 'Why' of Wellbeing.International journal of environmental research and public health · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kate ErgoDepartment of Experimental Psychology, Ghent University, Henri Dunantlaan 2, B-9000, Ghent, Belgium. kate.ergo@ugent.be.
Luna De VilderDepartment of Experimental Psychology, Ghent University, Henri Dunantlaan 2, B-9000, Ghent, Belgium.
Esther De LoofDepartment of Experimental Psychology, Ghent University, Henri Dunantlaan 2, B-9000, Ghent, Belgium.
Tom VergutsDepartment of Experimental Psychology, Ghent University, Henri Dunantlaan 2, B-9000, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent years have witnessed a steady increase in the number of studies investigating the role of reward prediction errors (RPEs) in declarative learning. Specifically, in several experimental paradigms, RPEs drive declarative learning, with larger and more positive RPEs enhancing declarative learning. However, it is unknown whether this RPE must derive from the participant's own response, or whether instead, any RPE is sufficient to obtain the learning effect. To test this, we generated RPEs in the same experimental paradigm where we combined an agency and a nonagency condition. We observed no interaction between RPE and agency, suggesting that any RPE (irrespective of its source) can drive declarative learning. This result holds implications for declarative learning theory.

Indexed as

LearningRewardHumansAgencyDeclarative learningMemoryReward prediction error

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.