Evidence map›Paper›PMID 26109341›Full record

ReviewPhysiological reviews2015

Neuronal Reward and Decision Signals: From Theories to Data.

Wolfram Schultz

Abstract readReview
In one paragraph

Review in Physiological reviews, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 464 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
464citing papers in PubMed, 7 pooled it
–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

464 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  10. A cluster-randomised controlled feasibility trial evaluating the Cognitive Occupation-Based programme for people with Multiple Sclerosis (COB-MS).Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Trial
  11. Tibial nerve stimulation in the management of primary sexual dysfunction in patients with multiple sclerosis: a pilot randomized control trial.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
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  20. Unsupervised nonmotor learning in the human cerebellum.bioRxiv : the preprint server for biology · 2026
    Article

404 more citing papers are in PubMed but not listed here.

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

1 author.

Wolfram SchultzDepartment of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom.

Funding

The Neurobiology of Social Decision-Making: Social Inference and ContextP50MH094258 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI O'DOHERTY, JOHN P · 2012 to 2021
$18.6M
Medical Research Council G0001354Medical Research Council G1000183NIMH NIH HHS P50 MH094258NIMH NIH HHS P50MH094258Wellcome Trust 058365Wellcome Trust 093270Wellcome Trust 093875Wellcome Trust 095495
6 · The paper itself

Abstract

Rewards are crucial objects that induce learning, approach behavior, choices, and emotions. Whereas emotions are difficult to investigate in animals, the learning function is mediated by neuronal reward prediction error signals which implement basic constructs of reinforcement learning theory. These signals are found in dopamine neurons, which emit a global reward signal to striatum and frontal cortex, and in specific neurons in striatum, amygdala, and frontal cortex projecting to select neuronal populations. The approach and choice functions involve subjective value, which is objectively assessed by behavioral choices eliciting internal, subjective reward preferences. Utility is the formal mathematical characterization of subjective value and a prime decision variable in economic choice theory. It is coded as utility prediction error by phasic dopamine responses. Utility can incorporate various influences, including risk, delay, effort, and social interaction. Appropriate for formal decision mechanisms, rewards are coded as object value, action value, difference value, and chosen value by specific neurons. Although all reward, reinforcement, and decision variables are theoretical constructs, their neuronal signals constitute measurable physical implementations and as such confirm the validity of these concepts. The neuronal reward signals provide guidance for behavior while constraining the free will to act.

Indexed as

Choice BehaviorLearningModels, NeurologicalRewardAnimalsBrainDopaminergic NeuronsEmotionsHumansNeural PathwaysSynaptic Transmission

Identifiers

PMID26109341
PMCPMC4491543

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.