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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“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
Flagged first, then by citations
1 of the 77 references couldn’t be matched to a known paper.
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).
Cited by
Sorted by citations
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
The neural bases of momentary lapses in attention
Weissman, D. H., Roberts, K. C., Visscher, K. M., & Woldorff, M. G. (2006) · Nature Neuroscience · doi:10.1038/nn1727 · Cited by 1,566
A new look at habits and the habit-goal interface.
Wood, W., & Neal, D. T. (2007) · Psychological Review · doi:10.1037/0033-295x.114.4.843 · Cited by 1,470
Synaptic plasticity and addiction
Kauer, J. A., & Malenka, R. C. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2234 · Cited by 1,397
Getting to Know You: Reputation and Trust in a Two-Person Economic Exchange
King-Casas, B., Tomlin, D., Anen, C., Camerer, C. F., Quartz, S. R., & Montague, P. R. (2005) · Science · doi:10.1126/science.1108062 · Cited by 1,345
Self-citationEye movements in natural behavior
Hayhoe, M., & Ballard, D. H. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.02.009 · Cited by 1,321
Dichotomous dopaminergic control of striatal synaptic plasticity
Shen, W., Flajolet, M., Greengard, P., & Surmeier, D. J. (2008) · Science · doi:10.1126/science.1160575 · Cited by 1,190
“Liking” and “wanting” food rewards: Brain substrates and roles in eating disorders
Berridge, K. C. (2009) · Physiology & Behavior · doi:10.1016/j.physbeh.2009.02.044 · Cited by 1,147
Kober, H., Barrett, L. F., Joseph, J., Bliss-Moreau, E., Lindquist, K., & Wager, T. D. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.059 · Cited by 1,144
Cohen, J. D., McClure, S. M., & Yu, A. J. (2007) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2007.2098 · Cited by 1,121
Self-citationStriatal Plasticity and Basal Ganglia Circuit Function
Kreitzer, A. C., & Malenka, R. C. (2008) · Neuron · doi:10.1016/j.neuron.2008.11.005 · Cited by 1,071
Addiction: A Disease of Learning and Memory
Hyman, S. E. (2005) · American Journal of Psychiatry · doi:10.1176/appi.ajp.162.8.1414 · Cited by 980
Self-citationCortico-Basal Ganglia Reward Network: Microcircuitry
Sesack, S. R., & Grace, A. A. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.93 · Cited by 985
The somatic marker hypothesis: A critical evaluation
Dunn, B. D., Dalgleish, T., & Lawrence, A. D. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2005.07.001 · Cited by 894
The tempted brain eats: Pleasure and desire circuits in obesity and eating disorders
Berridge, K. C., Ho, C.-Y., Richard, J. M., & DiFeliceantonio, A. G. (2010) · Brain Research · doi:10.1016/j.brainres.2010.04.003 · Cited by 873
Consciousness without a cerebral cortex: A challenge for neuroscience and medicine
Merker, B. (2007) · Behavioral and Brain Sciences · doi:10.1017/s0140525x07000891 · Cited by 868
Montague, P. R., Dolan, R. J., Friston, K. J., & Dayan, P. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.11.018 · Cited by 809
Self-citationNew insights into symptoms and neurocircuit function of anorexia nervosa
Kaye, W. H., Fudge, J. L., & Paulus, M. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2682 · Cited by 843
Human insula activation reflects risk prediction errors as well as risk
Preuschoff, K., Quartz, S. R., & Bossaerts, P. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.4286-07.2008 · Cited by 784
Intact-brain analyses reveal distinct information carried by SNc dopamine subcircuits
Lerner, T. N., Shilyansky, C., Davidson, T. J., Evans, K. E., Beier, K. T., Zalocusky, K. A., Crow, A. K., Malenka, R. C., Luo, L., Tomer, R., et al. (2015) · Cell · doi:10.1016/j.cell.2015.07.014 · Cited by 794
“…neurons suggested that a key function of DA is to transmit reward prediction error signals (Mirenowicz and Schultz, 1996; Schultz et al., 1997; Waelti et al., 2001), a hypothesis concordant with temporal difference learning models (Montague et al., 1996, 2004; Steinberg et al., 2013; Sutton, 1988).”
Eye guidance in natural vision: reinterpreting salience
Tatler, B. W., Hayhoe, M. M., Land, M. F., & Ballard, D. H. (2011) · Journal of Vision · doi:10.1167/11.5.5 · Cited by 775
ENDOCANNABINOID-MEDIATED SYNAPTIC PLASTICITY IN THE CNS
Chevaleyre, V., Takahashi, K. A., & Castillo, P. E. (2006) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.112834 · Cited by 829
The short-latency dopamine signal: a role in discovering novel actions?
Redgrave, P., & Gurney, K. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn2022 · Cited by 762
A Bayesian foundation for individual learning under uncertainty
Mathys, C. (2011) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00039 · Cited by 655
Associative learning mediates dynamic shifts in dopamine signaling in the nucleus accumbens
Day, J. J., Roitman, M. F., Wightman, R. M., & Carelli, R. M. (2007) · Nature Neuroscience · doi:10.1038/nn1923 · Cited by 710
Witten, I. B., Steinberg, E. E., Lee, S. Y., Davidson, T. J., Zalocusky, K. A., Brodsky, M., Yizhar, O., Cho, S. L., Gong, S., Ramakrishnan, C., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.10.028 · Cited by 680
Temporal self-regulation theory: A model for individual health behavior
Hall, P. A., & Fong, G. T. (2007) · Health Psychology Review · doi:10.1080/17437190701492437 · Cited by 721
REVIEW: Behavioural assessment of drug reinforcement and addictive features in rodents: an overview
Sanchis‐Segura, C., & Spanagel, R. (2006) · Addiction Biology · doi:10.1111/j.1369-1600.2006.00012.x · Cited by 629
Neurobiology of anorexia and bulimia nervosa
Kaye, W. (2008) · Physiology & Behavior · doi:10.1016/j.physbeh.2007.11.037 · Cited by 625
Ventral Tegmental Area Neurons in Learned Appetitive Behavior and Positive Reinforcement
Fields, H. L., Hjelmstad, G. O., Margolis, E. B., & Nicola, S. M. (2007) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.30.051606.094341 · Cited by 632
Alcaro, A., Huber, R., & Panksepp, J. (2007) · Brain Research Reviews · doi:10.1016/j.brainresrev.2007.07.014 · Cited by 661
Spatial Cognition and the Brain
Burgess, N. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.002 · Cited by 614
Intense Sweetness Surpasses Cocaine Reward
Lenoir, M., Serre, F., Cantin, L., & Ahmed, S. H. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000698 · Cited by 608
Activity of striatal neurons reflects dynamic encoding and recoding of procedural memories
Barnes, T. D., Kubota, Y., Hu, D., Jin, D. Z., & Graybiel, A. M. (2005) · Nature · doi:10.1038/nature04053 · Cited by 595
Midbrain Dopamine Neurons Signal Preference for Advance Information about Upcoming Rewards
Bromberg-Martin, E. S., & Hikosaka, O. (2009) · Neuron · doi:10.1016/j.neuron.2009.06.009 · Cited by 548
Moment-to-moment brain signal variability: A next frontier in human brain mapping?
Garrett, D. D., Samanez-Larkin, G. R., MacDonald, S. W. S., Lindenberger, U., McIntosh, A. R., & Grady, C. L. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.02.015 · Cited by 624
Holroyd, C. B., Pakzad-Vaezi, K. L., & Krigolson, O. E. (2008) · Psychophysiology · doi:10.1111/j.1469-8986.2008.00668.x · Cited by 605
Computational psychiatry: the brain as a phantastic organ
Friston, K. J., Stephan, K. E., Montague, R., & Dolan, R. J. (2014) · The Lancet Psychiatry · doi:10.1016/s2215-0366(14)70275-5 · Cited by 531
Choosing the greater of two goods: neural currencies for valuation and decision making
Sugrue, L. P., Corrado, G. S., & Newsome, W. T. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1666 · Cited by 536
Reward Processing in Schizophrenia: A Deficit in the Representation of Value
Gold, J. M., Waltz, J. A., Prentice, K. J., Morris, S. E., & Heerey, E. A. (2008) · Schizophrenia Bulletin · doi:10.1093/schbul/sbn068 · Cited by 521
Serotonin and dopamine: unifying affective, activational, and decision functions.
Cools, R., Nakamura, K., & Daw, N. D. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2010.121 · Cited by 464
Differential Encoding of Losses and Gains in the Human Striatum
Seymour, B., Daw, N. D., Dayan, P., Singer, T., & Dolan, R. J. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.0400-07.2007 · Cited by 479
Category Learning in the Brain
Seger, C. A., & Miller, E. K. (2010) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135546 · Cited by 483
Opponency revisited: competition and cooperation between dopamine and serotonin
Boureau, Y.-L., & Dayan, P. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2010.151 · Cited by 456
Collerton, D., Perry, E. K., & McKeith, I. G. (2005) · Behavioral and Brain Sciences · doi:10.1017/s0140525x05000130 · Cited by 447
Yin, H. H., Ostlund, S. B., & Balleine, B. W. (2008) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2008.06422.x · Cited by 416
The ventral basal ganglia, a selection mechanism at the crossroads of space, strategy, and reward.
Humphries, M. D., & Prescott, T. J. (2009) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2009.11.003 · Cited by 439
Human aging magnifies genetic effects on executive functioning and working memory
Nagel, I. E. (2008) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.001.2008 · Cited by 415
Dopamine Receptor Activation Is Required for Corticostriatal Spike-Timing-Dependent Plasticity
Pawlak, V., & Kerr, J. N. D. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.4402-07.2008 · Cited by 430
Basal ganglia orient eyes to reward
Hikosaka, O., Nakamura, K., & Nakahara, H. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00458.2005 · Cited by 377
Hierarchical Prediction Errors in Midbrain and Basal Forebrain during Sensory Learning
Iglesias, S., Mathys, C., Brodersen, K. H., Kasper, L., Piccirelli, M., den Ouden, H. E. M., & Stephan, K. E. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.009 · Cited by 342
Oakman, S., Faris, P. L., Kerr, P., Cozzari, C., & Hartman, B. (1995) · Journal of Neuroscience · doi:10.1523/jneurosci.15-09-05859.1995 · Cited by 392
Dopamine, affordance and active inference
Friston, K. J., Shiner, T., FitzGerald, T., Galea, J. M., Adams, R., Brown, H., Dolan, R. J., Moran, R., Stephan, K. E., & Bestmann, S. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002327 · Cited by 381
Serotonin in Affective Control
Dayan, P., & Huys, Q. J. M. (2009) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135607 · Cited by 381
IMAGING VALUATION MODELS IN HUMAN CHOICE
Montague, P. R., King‐Casas, B., & Cohen, J. D. (2006) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.112903 · Cited by 382
Self-citationNeural underpinnings of within-person variability in cognitive functioning.
MacDonald, S. W. S., Li, S., & Bäckman, L. (2009) · Psychology and Aging · doi:10.1037/a0017798 · Cited by 387
Beyond the FRN: Broadening the time-course of EEG and ERP components implicated in reward processing
Glazer, J. E., Kelley, N. J., Pornpattananangkul, N., Mittal, V. A., & Nusslock, R. (2018) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2018.02.002 · Cited by 381
Kreitzer, A. C., & Malenka, R. C. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.2959-05.2005 · Cited by 358
Stocco, A., Lebiere, C. J., & Anderson, J. R. (2010) · Psychological Review · doi:10.1037/a0019077 · Cited by 383
The good, the bad and the neutral: Electrophysiological responses to feedback stimuli
Holroyd, C. B., Hajcak, G., & Larsen, J. T. (2006) · Brain Research · doi:10.1016/j.brainres.2005.12.015 · Cited by 350
Waltz, J. A., & Gold, J. M. (2007) · Schizophrenia Research · doi:10.1016/j.schres.2007.03.010 · Cited by 331
Altered Reward Processing in Women Recovered From Anorexia Nervosa
Wagner, A., Aizenstein, H., Venkatraman, V. K., Fudge, J., May, J. C., Mazurkewicz, L., Frank, G. K., Bailer, U. F., Fischer, L., Nguyen, V., et al. (2007) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2007.07040575 · Cited by 342
Changes and challenges in 20 years of research into the development of executive functions
Hughes, C. (2011) · Infant and Child Development · doi:10.1002/icd.736 · Cited by 347
Hebbian learning of cognitive control: Dealing with specific and nonspecific adaptation.
Verguts, T., & Notebaert, W. (2008) · Psychological Review · doi:10.1037/0033-295x.115.2.518 · Cited by 343
Learning to Attend and to Ignore Is a Matter of Gains and Losses
Della Libera, C., & Chelazzi, L. (2009) · Psychological Science · doi:10.1111/j.1467-9280.2009.02360.x · Cited by 329
Reinforcement Learning Signals Predict Future Decisions
Cohen, M. X., & Ranganath, C. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.4421-06.2007 · Cited by 346
Animal Foraging and the Evolution of Goal‐Directed Cognition
Hills, T. T. (2006) · Cognitive Science · doi:10.1207/s15516709cog0000_50 · Cited by 345
Striatal Prediction Error Modulates Cortical Coupling
den Ouden, H. E. M., Daunizeau, J., Roiser, J., Friston, K. J., & Stephan, K. E. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.4458-09.2010 · Cited by 304
Negative Symptoms and the Failure to Represent the Expected Reward Value of Actions
Gold, J. M. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.1269 · Cited by 319
The Dynamics of Perceptual Learning: An Incremental Reweighting Model.
Petrov, A. A., Dosher, B. A., & Lu, Z. (2005) · Psychological Review · doi:10.1037/0033-295x.112.4.715 · Cited by 328
Behavior needs neural variability
Waschke, L., Kloosterman, N. A., Obleser, J., & Garrett, D. D. (2021) · Neuron · doi:10.1016/j.neuron.2021.01.023 · Cited by 317
Goschke, T. (2014) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1410 · Cited by 293
Cohen, J. D. (2005) · Journal of Economic Perspectives · doi:10.1257/089533005775196750 · Cited by 304
Self-citationA Neural Computational Model of Incentive Salience
Zhang, J., Berridge, K. C., Tindell, A. J., Smith, K. S., & Aldridge, J. W. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000437 · Cited by 299
“The estimate is based on summed values from reward prediction errors – the discrepancy between the reward expected from a stimulus (technically, a state) and the reward actually received [20,23–29].”
Backgroundvan den Bos, W., Cohen, M. X., Kahnt, T., & Crone, E. A. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr198 · Cited by 276
Embedding reward signals into perception and cognition
Pessoa, L. (2010) · Frontiers in Neuroscience · doi:10.3389/fnins.2010.00017 · Cited by 279
Kelly, C., de Zubicaray, G., Di Martino, A., Copland, D. A., Reiss, P. T., Klein, D. F., Castellanos, F. X., Milham, M. P., & McMahon, K. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.0810-09.2009 · Cited by 292
Serotonin is necessary for place memory in Drosophila
Sitaraman, D., Zars, M., LaFerriere, H., Chen, Y.-C., Sable-Smith, A., Kitamoto, T., Rottinghaus, G. E., & Zars, T. D. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0710168105 · Cited by 291
Goschke, T., & Bolte, A. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.07.015 · Cited by 319
NeuroEconomics: An overview from an economic perspective
Kenning, P., & Plaßmann, H. (2005) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2005.07.006 · Cited by 297
Decision-making during gambling: an integration of cognitive and psychobiological approaches
Clark, L. (2009) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2009.0147 · Cited by 322
Neural Response to Reward Anticipation under Risk Is Nonlinear in Probabilities
Hsu, M., Krajbich, I. M., Zhao, C., & Camerer, C. F. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.5296-08.2009 · Cited by 274
Dopamine, learning, and reward-seeking behavior
Arias-Carrión, Ó., & Pöppel, E. (2007) · Acta Neurobiologiae Experimentalis · doi:10.55782/ane-2007-1664 · Cited by 274
Blunted response to feedback information in depressive illness
Steele, J. D., Kumar, P., & Ebmeier, K. P. (2007) · Brain · doi:10.1093/brain/awm150 · Cited by 261
Maternal neglect: oxytocin, dopamine and the neurobiology of attachment
Strathearn, L. (2011) · Journal of Neuroendocrinology · doi:10.1111/j.1365-2826.2011.02228.x · Cited by 268
Neural signature of fictive learning signals in a sequential investment task
Lohrenz, T. M., McCabe, K., Camerer, C. F., & Montague, P. R. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0608842104 · Cited by 276
Self-citationMenegas, W., Babayan, B. M., Uchida, N., & Watabe‐Uchida, M. (2017) · eLife · doi:10.7554/elife.21886 · Cited by 267
A role for mesencephalic dopamine in activation: commentary on Berridge (2006)
Robbins, T. W., & Everitt, B. J. (2006) · Psychopharmacology · doi:10.1007/s00213-006-0528-7 · Cited by 265
What is reinforced by phasic dopamine signals?
Redgrave, P., GURNEY, K. N., & Reynolds, J. N. J. (2007) · Brain Research Reviews · doi:10.1016/j.brainresrev.2007.10.007 · Cited by 261
Control of synaptic plasticity in deep cortical networks
Roelfsema, P. R., & Holtmaat, A. J. D. G. (2018) · Nature reviews. Neuroscience · doi:10.1038/nrn.2018.6 · Cited by 254
Better or worse than expected? Aging, learning, and the ERN
Eppinger, B., Kray, J., Mock, B., & Mecklinger, A. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2007.09.001 · Cited by 258
The influence of reward associations on conflict processing in the Stroop task
Krebs, R. M., Boehler, C. N., & Woldorff, M. G. (2010) · Cognition · doi:10.1016/j.cognition.2010.08.018 · Cited by 271
Role of Dopamine Neurons in Reward and Aversion: A Synaptic Plasticity Perspective
Pignatelli, M., & Bonci, A. (2015) · Neuron · doi:10.1016/j.neuron.2015.04.015 · Cited by 258
Sensitivity to reward and punishment in eating disorders
Harrison, A., O'Brien, N., Lopez, C., & Treasure, J. (2010) · Psychiatry Research · doi:10.1016/j.psychres.2009.06.010 · Cited by 244
Uhl, G. R., Koob, G. F., & Cable, J. (2019) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13989 · Cited by 286
Gene–gene interaction associated with neural reward sensitivity
Yacubian, J., Sommer, T., Schroeder, K., Gläscher, J., Kalisch, R., Leuenberger, B., Braus, D. F., & Büchel, C. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0702029104 · Cited by 241
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 ›
Are you an author, or do you see a problem with this page? Request a review