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Computational roles for dopamine in behavioural control
Abstract
Neuromodulators such as dopamine have a central role in cognitive disorders. In the past decade, biological findings on dopamine function have been infused with concepts taken from computational theories of reinforcement learning. These more abstract approaches have now been applied to describe the biological algorithms at play in our brains when we form value judgements and make choices. The application of such quantitative models has opened up new fields, ripe for attack by young synthesizers and theoreticians.
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“These findings are consistent with the different functions associated with distinct regions of the striatum: afferent projections to dorsal striatum are thought to be crucial for learning correct actions so as to maximize reward, whereas projections to ventral striatum, including nucleus accumbens, have a key function in reward prediction and pavlovian learning18-20,23,24.”
From Empathic neural responses are modulated by the perceived fairness of others (2006) · cites this paper as [24]
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Metadata
- Authors
- Montague, P. R., Hyman, S. E., & Cohen, J. D.
- Affiliations
- Baylor College of Medicine (US)
- Harvard University (US)
- University of Pittsburgh (US)
- Venue
- Nature
- Published
- 2004-10
- Volume
- 431
- Issue
- 7010
- Pages
- 760-767
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2165368112
- Semantic Scholar
- 16cd7a24d117f61da645fba1b4cc31839dff2805
- Cited by
- 966
- References
- 77
- Citations by year
- 2026: 6 · 2025: 13 · 2024: 19 · 2023: 36 · 2022: 21 · 2021: 26 · 2020: 32 · 2019: 31 · 2018: 39 · 2017: 40 · 2016: 42 · 2015: 49 · 2014: 51 · 2013: 56 · 2012: 82
- FWCI
- 4.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
- Keywords
- dopamine, neuromodulation, reinforcement learning, computational model, value judgments, decision-making, behavioral control, cognitive disorders
- MeSH terms
- Animals, Choice Behavior, Cognition, Dopamine, Humans, Learning, Models, Neurological, Schizophrenia, Substance-Related Disorders
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 ›
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