The DOI matches its Crossref record; 76 of the 77 references it cites were found in a registry or an index.
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]
Citations
Cites
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
Self-citationA neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388
Self-citationReinforcement Learning: A Survey
Kaelbling, L. P., Littman, M. L., & Moore, A. W. (1996) · Journal of Artificial Intelligence Research · doi:10.1613/jair.301 · Cited by 8,972
The Psychology of Learning and Motivation: Advances in Research and Theory
(2010) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/c2009-0-62209-1 · Cited by 6,035
Learning to predict by the methods of temporal differences
Sutton, R. S. (1988) · Machine Learning · doi:10.1007/bf00115009 · Cited by 5,148
Di Chiara, G., & Imperato, A. (1988) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.85.14.5274 · Cited by 4,733
Predictive reward signal of dopamine neurons
Schultz, W. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.1.1 · Cited by 4,564
What is the role of dopamine in reward: hedonic impact, reward learning, or incentive salience?
Berridge, K. C., & Robinson, T. E. (1998) · Brain Research Reviews · doi:10.1016/s0165-0173(98)00019-8 · Cited by 4,127
From Neuropsychology to Mental Structure
Shallice, T. (1988) · doi:10.1017/cbo9780511526817 · Cited by 4,072
Holroyd, C. B., & Coles, M. G. H. (2002) · Psychological Review · doi:10.1037/0033-295x.109.4.679 · Cited by 4,027
Research works printed but not linked: 2
- Rescorla, R. A. & Wagner A. R. in Classical Conditioning 2: Current Research and Theory (eds Black, A. H. & Prokasy, W. F.) 64–69 (Appleton Century-Crofts, New York, 1972).
- Bayer, H. M. & Glimcher, P. W. Subjective estimates of objective rewards: using economic discounting to link behavior and brain. Soc. Neurosci. Abstr. 28, 358.6 (2002).
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Aston-Jones, G., & Cohen, J. D. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.28.061604.135709 · Cited by 4,472
Self-citationBardo, M. T., & Hammer, R. P. (1991) · Neuroscience · doi:10.1016/0306-4522(91)90226-e · Cited by 3,229
NEURAL MECHANISMS OF ADDICTION: The Role of Reward-Related Learning and Memory
Hyman, S. E., Malenka, R. C., & Nestler, E. J. (2006) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.113009 · Cited by 2,647
Self-citationThe debate over dopamine’s role in reward: the case for incentive salience
Berridge, K. C. (2007) · Psychopharmacology · doi:10.1007/s00213-006-0578-x · Cited by 2,347
Empathic neural responses are modulated by the perceived fairness of others
Singer, T., Seymour, B., O'Doherty, J. P., Stephan, K. E., Dolan, R. J., & Frith, C. D. (2006) · Nature · doi:10.1038/nature04271 · Cited by 1,726
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
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