Cited by 90Neurotransmitter Receptor Influence on BehaviorNeural and Behavioral Psychology StudiesDecision-Making and Behavioral Economics

Transient activation of midbrain dopamine neurons by reward risk

Open access
Fiorillo, C.D.·2011·Neuroscience

Abstract

Dopamine neurons of the ventral midbrain are activated transiently following stimuli that predict future reward. This response has been shown to signal the expected value of future reward, and there is strong evidence that it drives positive reinforcement of stimuli and actions associated with reward in accord with reinforcement learning models. Behavior is also influenced by reward uncertainty, or risk, but it is not known whether the transient response of dopamine neurons is sensitive to reward risk. To investigate this, monkeys were trained to associate distinct visual stimuli with certain or uncertain volumes of juice of nearly the same expected value. In a choice task, monkeys preferred the stimulus predicting an uncertain (risky) reward outcome. In a Pavlovian task, in which the neuronal responses to each stimulus could be measured in isolation, it was found that dopamine neurons were more strongly activated by the stimulus associated with reward risk. Given extensive evidence that dopamine drives reinforcement, these results strongly suggest that dopamine neurons can reinforce risk-seeking behavior (gambling), at least under certain conditions. Risk-seeking behavior has the virtue of promoting exploration and learning, and these results support the hypothesis that dopamine neurons represent the value of exploration.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.neuroscience.2011.09.037

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 30 · Cited by 90

Authors
Fiorillo, C. D.
Affiliations
Korea Advanced Institute of Science and Technology (KR)
Corresponding author
Fiorillo, C.D.
Venue
Neuroscience
Publisher
Elsevier BV
Published
2011-12
Volume
197
Pages
162-171
ISSN
0306-4522 (ISSN-L)
OpenAlex
W1987205638
Cited by
90
References
30
Citations by year
2024: 1 · 2023: 4 · 2022: 2 · 2021: 3 · 2020: 44 · 2019: 5 · 2018: 4 · 2017: 1 · 2016: 2 · 2015: 5 · 2014: 10 · 2013: 6 · 2012: 3
FWCI
2.52
Type
journal article
Language
en
Open access
Locations
  • Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Research Foundation of Korea
  • Ministry of Education, Science and Technology (R32-2008-000-10218-0)
  • Howard Hughes Medical Institute
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
Keywords
dopaminergic neurons, ventral midbrain, risk seeking, reward uncertainty, classical conditioning, choice task, reinforcement learning, gambling
MeSH terms
Animals, Choice Behavior, Conditioning, Classical, Female, Macaca mulatta, Male, Mesencephalon, Motivation, Reward, Risk-Taking, Dopaminergic Neurons

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review