Evidence map›Paper›PMID 28275359›Full record

ReviewFrontiers in psychology2017

The Dopamine Prediction Error: Contributions to Associative Models of Reward Learning.

Helen M Nasser, Donna J Calu, Geoffrey Schoenbaum, Melissa J Sharpe

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in psychology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
4.6field-weighted citation impact, top 4% of its field
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

51 citing papers in PubMed, 92 citations in OpenAlex.

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  17. Review
  18. Role of Dopamine Neurons in Familiarity.bioRxiv : the preprint server for biology · 2023
    Article
  19. Reinforcement learning deficits exhibited by postnatal PCP-treated rats enable deep neural network classification.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
    Article
  20. 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 at 2 institutions in 1 country.

Helen M NasserDepartment of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore MD, USA.
Donna J CaluDepartment of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore MD, USA.
Geoffrey SchoenbaumDepartment of Anatomy and Neurobiology, University of Maryland School of Medicine, BaltimoreMD, USA; Cellular Neurobiology Research Branch, National Institute on Drug Abuse Intramural Research Program, BaltimoreMD, USA; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University, BaltimoreMD, USA.
Melissa J SharpeCellular Neurobiology Research Branch, National Institute on Drug Abuse Intramural Research Program, BaltimoreMD, USA; Princeton Neuroscience Institute, Princeton University, PrincetonNJ, USA.
University of Maryland, Baltimore · USPrinceton University · US

Funding

Associative learning, decision-making, and addictionZIADA000587 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI SCHOENBAUM, GEOFFREY · 2012 to 2025
$47.7M
6 · The paper itself

Abstract

Phasic activity of midbrain dopamine neurons is currently thought to encapsulate the prediction-error signal described in Sutton and Barto's (1981) model-free reinforcement learning algorithm. This phasic signal is thought to contain information about the quantitative value of reward, which transfers to the reward-predictive cue after learning. This is argued to endow the reward-predictive cue with the value inherent in the reward, motivating behavior toward cues signaling the presence of reward. Yet theoretical and empirical research has implicated prediction-error signaling in learning that extends far beyond a transfer of quantitative value to a reward-predictive cue. Here, we review the research which demonstrates the complexity of how dopaminergic prediction errors facilitate learning. After briefly discussing the literature demonstrating that phasic dopaminergic signals can act in the manner described by Sutton and Barto (1981), we consider how these signals may also influence attentional processing across multiple attentional systems in distinct brain circuits. Then, we discuss how prediction errors encode and promote the development of context-specific associations between cues and rewards. Finally, we consider recent evidence that shows dopaminergic activity contains information about causal relationships between cues and rewards that reflect information garnered from rich associative models of the world that can be adapted in the absence of direct experience. In discussing this research we hope to support the expansion of how dopaminergic prediction errors are thought to contribute to the learning process beyond the traditional concept of transferring quantitative value.

Indexed as

associative learningattentiondopaminemodel-based learningprediction error

Identifiers

PMID28275359
PMCPMC5319959
OpenAlexW2591012103

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.