The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Dopamine responses comply with basic assumptions of formal learning theory
Abstract
According to contemporary learning theories, the discrepancy, or error, between the actual and predicted reward determines whether learning occurs when a stimulus is paired with a reward. The role of prediction errors is directly demonstrated by the observation that learning is blocked when the stimulus is paired with a fully predicted reward. By using this blocking procedure, we show that the responses of dopamine neurons to conditioned stimuli was governed differentially by the occurrence of reward prediction errors rather than stimulus-reward associations alone, as was the learning of behavioural reactions. Both behavioural and neuronal learning occurred predominantly when dopamine neurons registered a reward prediction error at the time of the reward. Our data indicate that the use of analytical tests derived from formal behavioural learning theory provides a powerful approach for studying the role of single neurons in learning.
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“The firing of DA cells that accompanies drug use encodes a number of reward properties, including reward expectancy [117], reward learning [118], and the consolidation of contextual memories [119].”
From Reward circuitry dysfunction in psychiatric and neurodevelopmental disorders and genetic syndromes: animal models and clinical findings (2012) · cites this paper as [119]
In the citing paper
“Similarly, increasing the probability that the animal will receive a reward in a given experiment constitutes a more rewarded context and increases the incidence of dopamine activations to unrewarded stimuli5,6,34.”
From Dopamine reward prediction-error signalling: A two-component response (2016) · cites this paper as [5]
In the citing paper
“The physical resemblance of a stimulus to other stimuli known to be associated with a reward can enhance the initial dopamine activation through generalization5,6,17,19,60.”
From Dopamine reward prediction-error signalling: A two-component response (2016) · cites this paper as [5]
In the citing paper
“these changes fail to occur with more-controlled arm, mouth and eye movements in a considerable range of studies2,5,9,13,151,152,154”
From Dopamine reward prediction-error signalling: A two-component response (2016) · cites this paper as [5]
In the citing paper
“A by-now classic series of results suggests that the reward prediction error is encoded by midbrain dopamine cells (Glimcher, 2011; Schultz, 2006; Waelti et al., 2001).”
From Attention, learning, and the value of information (2012) · cites this paper as Waelti et al., 2001
In the citing paper
“Dopamine responsiveness appears to encode discrepancies between rewards received and those predicted, consistent with a “prediction error” teaching signal used in formal models of reinforcement learning5,6.”
From A selective role for dopamine in stimulus-reward learning (2011) · cites this paper as [6]
Citations
Cites
A New Approach to Linear Filtering and Prediction Problems
Kalman, R. E. (1960) · Journal of Basic Engineering · doi:10.1115/1.3662552 · Cited by 31,751
A 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-citationThe neural basis of drug craving: An incentive-sensitization theory of addiction
Robinson, T. (1993) · Brain Research Reviews · doi:10.1016/0165-0173(93)90013-p · Cited by 7,346
(1991) · Springer eBooks · doi:10.1007/978-3-7091-2840-4 · Cited by 5,092
Predictive reward signal of dopamine neurons
Schultz, W. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.1.1 · Cited by 4,564
Self-citationClassical conditioning II: Current research and theory.
Black, A. H., & Prokasy, W. F. (1972) · Appleton-Century-Crofts eBooks · Cited by 4,449
WIDROW, B., & HOFF, M. E. (1960) · doi:10.21236/ad0241531 · Cited by 4,009
Marr, D. (1969) · The Journal of Physiology · doi:10.1113/jphysiol.1969.sp008820 · Cited by 3,253
Pearce, J. M., & Hall, G. (1980) · Psychological Review · doi:10.1037/0033-295x.87.6.532 · Cited by 3,023
A theory of attention: Variations in the associability of stimuli with reinforcement
Mackintosh, N. J. (1975) · Psychological Review · doi:10.1037/h0076778 · Cited by 2,733
Flagged first, then by citations
Research works printed but not linked: 3
- Pavlov, I. P. Conditional Reflexes (Oxford Univ. Press, London, 1927).
- Fibiger, H. C. & Phillips, A. G. in Handbook of Physiology—The Nervous System IV (ed. Bloom, F. E.) 647–675 (Williams and Wilkins, Baltimore, 1986).
- Kamin, L. J. in Fundamental Issues in Instrumental Learning (eds Mackintosh, N. J. & Honig, W. K.) 42–64 (Dalhousie Univ. Press, Dalhousie, 1969).
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Holroyd, C. B., & Coles, M. G. H. (2002) · Psychological Review · doi:10.1037/0033-295x.109.4.679 · Cited by 4,027
Kapur, S. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.1.13 · Cited by 2,813
Getting formal with dopamine and reward
Schultz, W. (2002) · Neuron · doi:10.1016/s0896-6273(02)00967-4 · Cited by 2,574
Self-citationDopamine in motivational control: rewarding, aversive, and alerting
Bromberg-Martin, E. S., Matsumoto, M., & Hikosaka, O. (2010) · Neuron · doi:10.1016/j.neuron.2010.11.022 · Cited by 2,396
Discrete coding of reward probability and uncertainty by dopamine neurons
Fiorillo, C. D., Tobler, P. N., & Schultz, W. (2003) · Science · doi:10.1126/science.1077349 · Cited by 2,085
Self-citationLearning the value of information in an uncertain world
Behrens, T. E. J., Woolrich, M. W., Walton, M. E., & Rushworth, M. F. S. (2007) · Nature Neuroscience · doi:10.1038/nn1954 · Cited by 2,053
Habits, Rituals, and the Evaluative Brain
Graybiel, A. M. (2008) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.112851 · Cited by 1,697
Chambers, R. A., Taylor, J. R., & Potenza, M. N. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.6.1041 · Cited by 1,719
Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans
Pessiglione, M., Seymour, B., Flandin, G., Dolan, R. J., & Frith, C. D. (2006) · Nature · doi:10.1038/nature05051 · Cited by 1,584
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Schultz, W. (2006) · Annual Review of Psychology · doi:10.1146/annurev.psych.56.091103.070229 · Cited by 1,637
Self-citationPerceiving is believing: a Bayesian approach to explaining the positive symptoms of schizophrenia
Fletcher, P. C., & Frith, C. D. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2536 · Cited by 1,462
Ridderinkhof, K. R., van den Wildenberg, W. P. M., Segalowitz, S. J., & Carter, C. S. (2004) · Brain and Cognition · doi:10.1016/j.bandc.2004.09.016 · Cited by 1,407
Multiple dopamine functions at different time courses
Schultz, W. (2007) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.28.061604.135722 · Cited by 1,415
Self-citationMidbrain dopamine neurons encode a quantitative reward prediction error signal
Bayer, H. M., & Glimcher, P. W. (2005) · Neuron · doi:10.1016/j.neuron.2005.05.020 · Cited by 1,304
Adaptive Coding of Reward Value by Dopamine Neurons
Tobler, P. N., Fiorillo, C. D., & Schultz, W. (2005) · Science · doi:10.1126/science.1105370 · Cited by 1,276
Self-citationNeuronal Reward and Decision Signals: From Theories to Data
Schultz, W. (2015) · Physiological Reviews · doi:10.1152/physrev.00023.2014 · Cited by 1,126
Self-citationTonic dopamine: Opportunity costs and the control of response vigor
Niv, Y., Daw, N. D., Joel, D., & Dayan, P. (2007) · Psychopharmacology · doi:10.1007/s00213-006-0502-4 · Cited by 1,133
Dopamine reward prediction-error signalling: A two-component response
Schultz, W. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2015.26 · Cited by 1,036
Self-citationSchultz, W. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.03.007 · Cited by 1,028
Self-citationsagvolden, T., johansen, E. B., aase, H., & russell, V. A. (2005) · Behavioral and Brain Sciences · doi:10.1017/s0140525x05000075 · Cited by 1,035
A selective role for dopamine in stimulus-reward learning
Flagel, S. B., Clark, J. J., Robinson, T. E., Mayo, L., Czuj, A., Willuhn, I., Akers, C. A., Clinton, S. M., Phillips, P. E. M., & Akil, H. (2011) · Nature · doi:10.1038/nature09588 · Cited by 1,026
Imaging dopamine's role in drug abuse and addiction
Volkow, N. D., Fowler, J. S., Wang, G. J., Baler, R., & Telang, F. (2009) · Neuropharmacology · doi:10.1016/j.neuropharm.2008.05.022 · Cited by 988
Computational roles for dopamine in behavioural control
Montague, P. R., Hyman, S. E., & Cohen, J. D. (2004) · Nature · doi:10.1038/nature03015 · Cited by 966
The Neurobiology of Decision: Consensus and Controversy
Kable, J. W., & Glimcher, P. W. (2009) · Neuron · doi:10.1016/j.neuron.2009.09.003 · Cited by 928
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Myers, K. M., & Davis, M. (2002) · Neuron · doi:10.1016/s0896-6273(02)01064-4 · Cited by 918
Associative learning of social value
Behrens, T. E. J., Hunt, L. T., Woolrich, M. W., & Rushworth, M. F. S. (2008) · Nature · doi:10.1038/nature07538 · Cited by 925
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Daw, N. D., Kakade, S., & Dayan, P. (2002) · Neural Networks · doi:10.1016/s0893-6080(02)00052-7 · Cited by 844
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
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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
“Seminal early studies into the information encoded by midbrain DA 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.”
ResultThe 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
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Roitman, M. F., Stuber, G. D., Phillips, P. E. M., Wightman, R. M., & Carelli, R. M. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.3823-03.2004 · Cited by 718
Triadic model of the neurobiology of motivated behavior in adolescence.
ERNST, M., PINE, D. S., & HARDIN, M. (2006) · Psychological Medicine · doi:10.1017/s0033291705005891 · Cited by 718
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
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Schultz, W. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.11.012 · Cited by 651
Self-citationDopamine signals for reward value and risk: basic and recent data
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Self-citationDrug addiction: the neurobiology of disrupted self-control
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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
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Roesch, M. R., Calu, D. J., & Schoenbaum, G. (2007) · Nature Neuroscience · doi:10.1038/nn2013 · Cited by 597
Liu, Y., & Wang, Z. X. (2003) · Neuroscience · doi:10.1016/s0306-4522(03)00555-4 · Cited by 580
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Volkow, N. D., Wang, G., Fowler, J. S., Tomasi, D., Telang, F., & Baler, R. (2010) · BioEssays · doi:10.1002/bies.201000042 · Cited by 532
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Stalnaker, T. A., Cooch, N. K., & Schoenbaum, G. (2015) · Nature Neuroscience · doi:10.1038/nn.3982 · Cited by 531
Schultz, W. (2004) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2004.03.017 · Cited by 517
Self-citationVolkow, N. (2002) · Neurobiology of Learning and Memory · doi:10.1006/nlme.2002.4099 · Cited by 514
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Morris, G., Nevet, A., Arkadir, D., Vaadia, E., & Bergman, H. (2006) · Nature Neuroscience · doi:10.1038/nn1743 · Cited by 503
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Redish, A. D., Jensen, S., & Johnson, A. (2008) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0800472x · Cited by 501
Tripp, G., & Wickens, J. R. (2009) · Neuropharmacology · doi:10.1016/j.neuropharm.2009.07.026 · Cited by 492
Neural Circuitry of Reward Prediction Error
Watabe-Uchida, M., Eshel, N., & Uchida, N. (2017) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-072116-031109 · Cited by 437
Mapping anhedonia onto reinforcement learning: a behavioural meta-analysis
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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
Disrupted prediction-error signal in psychosis: Evidence for an associative account of delusions
Corlett, P. R., Murray, G. K., Honey, G. D., Aitken, M. R. F., Shanks, D. R., Robbins, T. W., Bullmore, E. T., Dickinson, A., & Fletcher, P. C. (2007) · Brain · doi:10.1093/brain/awm173 · Cited by 460
Self-citationAmphetamine Exposure Enhances Habit Formation
Nelson, A., & Killcross, S. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.4305-05.2006 · Cited by 445
Pan, W.-X., Schmidt, R., Wickens, J. R., & Hyland, B. I. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.1478-05.2005 · Cited by 429
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
Toward a neurobiology of delusions
Corlett, P. R., Taylor, J. R., Wang, X.-J., Fletcher, P. C., & Krystal, J. H. (2010) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2010.06.007 · Cited by 394
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Corlett, P. R., Frith, C. D., & Fletcher, P. C. (2009) · Psychopharmacology · doi:10.1007/s00213-009-1561-0 · Cited by 367
“Whilst dopamine neurons in the midbrain appear to code a simple mismatch between expectancy and experience (Rescorla and Wagner 1972; Waelti et al. 2001), their firing has other important properties.”
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Hikosaka, O., Nakamura, K., & Nakahara, H. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00458.2005 · Cited by 377
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Statistical learning of visual transitions in monkey inferotemporal cortex
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Redish, A. D., Jensen, S., Johnson, A., & Kurth-Nelson, Z. (2007) · Psychological Review · doi:10.1037/0033-295x.114.3.784 · Cited by 346
Thiele, A., & Bellgrove, M. A. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.008 · Cited by 350
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GOTO, Y., OTANI, S., & GRACE, A. (2007) · Neuropharmacology · doi:10.1016/j.neuropharm.2007.07.007 · Cited by 342
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Placing prediction into the fear circuit
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Dichter, G. S., Damiano, C. A., & Allen, J. A. (2012) · Journal of Neurodevelopmental Disorders · doi:10.1186/1866-1955-4-19 · Cited by 299
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Sevenster, D., Beckers, T., & Kindt, M. (2013) · Science · doi:10.1126/science.1231357 · Cited by 305
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Tobler, P. N., Dickinson, A., & Schultz, W. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-32-10402.2003 · Cited by 300
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Hu, H. (2016) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-070815-014106 · Cited by 253
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Calculating utility: preclinical evidence for cost–benefit analysis by mesolimbic dopamine
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Makino, H., Hwang, E. J., Hedrick, N. G., & Komiyama, T. (2016) · Neuron · doi:10.1016/j.neuron.2016.10.029 · Cited by 228
Glutamatergic model psychoses: prediction error, learning, and inference
Corlett, P. R., Honey, G. D., Krystal, J. H., & Fletcher, P. C. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2010.163 · Cited by 229
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Pizzagalli, D. A., Evins, A. E., Schetter, E. C., Frank, M. J., Pajtas, P. E., Santesso, D. L., & Culhane, M. (2008) · Psychopharmacology · doi:10.1007/s00213-007-0957-y · Cited by 219
Stuber, G. D., Roitman, M. F., Phillips, P. E. M., Carelli, R. M., & Wightman, R. M. (2005) · Neuropsychopharmacology · doi:10.1038/sj.npp.1300619 · Cited by 217
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Tobler, P. N., O’Doherty, J. P., Dolan, R. J., & Schultz, W. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00762.2005 · Cited by 209
Self-citationDopamine neurons respond to errors in the prediction of sensory features of expected rewards
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Solié, C., Girard, B., Righetti, B., Tapparel, M., & Bellone, C. (2022) · Nature Neuroscience · doi:10.1038/s41593-021-00972-9 · Cited by 186
Corlett, P. R., Honey, G. D., Aitken, M. R. F., Dickinson, A., Shanks, D. R., Absalom, A. R., Lee, M., Pomarol-Clotet, E., Murray, G. K., McKenna, P. J., et al. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.6.611 · Cited by 182
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Wanat, M., Willuhn, I., Clark, J., & Phillips, P. (2009) · Current Drug Abuse Reviewse · doi:10.2174/1874473710902020195 · Cited by 177
Rubia, K., Halari, R., Mohammad, A.-M., Taylor, E., & Brammer, M. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.04.018 · Cited by 171
WICKENS, J. R., BUDD, C. S., HYLAND, B. I., & ARBUTHNOTT, G. W. (2007) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1390.016 · Cited by 165
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Metadata
- Authors
- Waelti, P., Dickinson, A., & Schultz, W.
- Affiliations
- University of Cambridge (GB)
- University of Fribourg (CH)
- Corresponding author
- Schultz, Wolfram
- Venue
- Nature
- Published
- 2001-07
- Volume
- 412
- Issue
- 6842
- Pages
- 43-48
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2136748963
- Cited by
- 1,018
- References
- 54
- Citations by year
- 2026: 13 · 2025: 15 · 2024: 25 · 2023: 30 · 2022: 30 · 2021: 25 · 2020: 40 · 2019: 42 · 2018: 37 · 2017: 48 · 2016: 50 · 2015: 45 · 2014: 41 · 2013: 56 · 2012: 43
- FWCI
- 13.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- reroDoc Digital Library (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Science Foundation
- James S. McDonnell Foundation
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- dopaminergic neurons, reward prediction error, learning theory, stimulus-reward associations, blocking, conditioned stimulus, single-unit recording, behavioural learning, reward prediction
- MeSH terms
- Animals, Conditioning, Classical, Dopamine, Learning, Macaca fascicularis, Male, Models, Neurological, Neurons, Photic Stimulation, Psychological Theory, Reward
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