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Reward uncertainty enhances incentive salience attribution as sign-tracking
Open accessAbstract
Conditioned stimuli (CSs) come to act as motivational magnets following repeated association with unconditioned stimuli (UCSs) such as sucrose rewards. By traditional views, the more reliably predictive a Pavlovian CS-UCS association, the more the CS becomes attractive. However, in some cases, less predictability might equal more motivation. Here we examined the effect of introducing uncertainty in CS-UCS association on CS strength as an attractive motivation magnet. In the present study, Experiment 1 assessed the effects of Pavlovian predictability versus uncertainty about reward probability and/or reward magnitude on the acquisition and expression of sign-tracking (ST) and goal-tracking (GT) responses in an autoshaping procedure. Results suggested that uncertainty produced strongest incentive salience expressed as sign-tracking. Experiment 2 examined whether a within-individual temporal shift from certainty to uncertainty conditions could produce a stronger CS motivational magnet when uncertainty began, and found that sign-tracking still increased after the shift. Overall, our results support earlier reports that ST responses become more pronounced in the presence of uncertainty regarding CS-UCS associations, especially when uncertainty combines both probability and magnitude. These results suggest that Pavlovian uncertainty, although diluting predictability, is still able to enhance the incentive motivational power of particular CSs.
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“It is thought that reward uncertainty, like drugs of abuse, may also sensitize neural systems to rewards and reward-related cues (Anselme & Robinson, 2013; Anselme, Robinson, & Berridge, 2013; Berridge, 2007; Mascia et al., 2018; M. J. F. Robinson, Anselme, Fischer, & Berridge, 2014a; Rømer Thomsen et al., 2014).”
From Cued for Risk: Evidence for an Incentive Sensitization Framework to Explain the Interplay between Stress and Anxiety, Substance Abuse, and Reward Uncertainty in Disordered Gambling Behavior (2019) · cites this paper as Anselme, Robinson, & Berridge, 2013
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Cites
Rescorla, R. A. (1972) · Medical Entomology and Zoology · Cited by 7,268
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
Self-citationPearce, 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
The 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 · cited 2×
“[6] Berridge KC.”
BackgroundSelf-citationDiscrete 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
A framework for mesencephalic dopamine systems based on predictive Hebbian learning
Montague, P., Dayan, P., & Sejnowski, T. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-05-01936.1996 · Cited by 2,066
The psychology and neurobiology of addiction: an incentive–sensitization view
Robinson, T. E., & Berridge, K. C. (2000) · Addiction · doi:10.1046/j.1360-0443.95.8s2.19.x · Cited by 1,507
Self-citationIkemoto, S., & Panksepp, J. (1999) · Brain Research Reviews · doi:10.1016/s0165-0173(99)00023-5 · Cited by 1,450
Stephens, D. W., & Krebs, J. R. (1987) · Princeton University Press eBooks · doi:10.1515/9780691206790 · Cited by 1,400
Pavlovian conditioning and its proper control procedures.
Rescorla, R. A. (1967) · Psychological Review · doi:10.1037/h0024109 · Cited by 1,387
Schultz, W., Apicella, P., & Ljungberg, T. (1993) · The Journal of Neuroscience · doi:10.1523/jneurosci.13-03-00900.1993 · Cited by 1,291
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
Neuroeconomics: decision making and the brain
(2014) · Choice Reviews Online · doi:10.5860/choice.51-5702 · Cited by 1,020
Production of Polydipsia in Normal Rats by an Intermittent Food Schedule
Falk, J. L. (1961) · Science · doi:10.1126/science.133.3447.195 · Cited by 717
From prediction error to incentive salience: mesolimbic computation of reward motivation.
Berridge, K. C. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2012.07990.x · Cited by 700 · cited 2×
“There is a body of evidence to suggest that variations in dopamine levels induce an instant shift in CS-directed behaviors in animals that have received identical training on a task [7,14,37,49].”
BackgroundSelf-citationNeural differentiation of expected reward and risk in human subcortical structures
Preuschoff, K., Bossaerts, P., & Quartz, S. R. (2006) · Neuron · doi:10.1016/j.neuron.2006.06.024 · Cited by 692
Neuroeconomics: Decision Making and the Brain
Rushworth, M. F. S., & Walton, M. E. (2009) · Neuron · doi:10.1016/j.neuron.2009.07.005 · Cited by 669
Doya, K. (2008) · Nature Neuroscience · doi:10.1038/nn2077 · Cited by 642
Risky Theories—The Effects of Variance on Foraging Decisions
Kacelnik, A., & Melissa Bateson, B. (1996) · American Zoologist · doi:10.1093/icb/36.4.402 · Cited by 571
Flagel, S. B., Akil, H., & Robinson, T. E. (2009) · Neuropharmacology · doi:10.1016/j.neuropharm.2008.06.027 · Cited by 561
Operant-Pavlovian Interactions
Davis, H., & Hurwitz, H. M. B. (2021) · Routledge eBooks · doi:10.4324/9781003150404 · Cited by 509
Robinson, T. E., & Flagel, S. B. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.09.006 · Cited by 416
Habituation in rodents: a review of behavior, neurobiology, and genetics
LEUSSIS, M., & BOLIVAR, V (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.03.006 · Cited by 330
Oswald, L. M., Wong, D. F., McCaul, M., Zhou, Y., Kuwabara, H., Choi, L., Brasic, J., & Wand, G. S. (2005) · Neuropsychopharmacology · doi:10.1038/sj.npp.1300667 · Cited by 314
A 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
Self-citationFlagel, S. B., Watson, S. J., Robinson, T. E., & Akil, H. (2006) · Psychopharmacology · doi:10.1007/s00213-006-0535-8 · Cited by 290
Free food or earned food? A review and fuzzy model of contrafreeloading
INGLIS, I. R., Forkman, B., & Lazarus, J. H. (1997) · Animal Behaviour · doi:10.1006/anbe.1996.0320 · Cited by 287
Tindell, A. J., Berridge, K. C., Zhang, J., Peciña, S., & Aldridge, J. W. (2005) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2005.04411.x · Cited by 268
Self-citationCardinal, R. N., & Howes, N. J. (2005) · BMC Neuroscience · doi:10.1186/1471-2202-6-37 · Cited by 248
Mahler, S. V., & Berridge, K. C. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3875-08.2009 · Cited by 223
Self-citationPeciña, S., Schulkin, J., & Berridge, K. C. (2006) · BMC Biology · doi:10.1186/1741-7007-4-8 · Cited by 194
Self-citationRisk-sensitivity: ambient temperature affects foraging choice
Caraco, T. B., Blanckenhorn, W. U., Gregory, G. M., Newman, J. A., Recer, G. M., & Zwicker, S. M. (1990) · Animal Behaviour · doi:10.1016/s0003-3472(05)80879-6 · Cited by 186
Partial reinforcement in autoshaping with pigeons
Gibbon, J., Farrell, L., Locurto, C., Duncan, H. J., & Terrace, H. S. (1980) · Animal Learning & Behavior · doi:10.3758/bf03209729 · Cited by 147
DiFeliceantonio, A. G., & Berridge, K. C. (2012) · Behavioural Brain Research · doi:10.1016/j.bbr.2012.02.032 · Cited by 141
Self-citationDynamic Computation of Incentive Salience: “Wanting” What Was Never “Liked”
Tindell, A. J., Smith, K. S., Berridge, K. C., & Aldridge, J. W. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.2499-09.2009 · Cited by 124
Self-citationContext-dependent, risk-sensitive foraging preferences in wild rufous hummingbirds
Hurly, T. A., & Oseen, M. D. (1999) · Animal Behaviour · doi:10.1006/anbe.1999.1130 · Cited by 120
Unpredictable saccharin reinforcement enhances locomotor responding to amphetamine
Singer, B. F., Scott-Railton, J., & Vezina, P. (2012) · Behavioural Brain Research · doi:10.1016/j.bbr.2011.09.003 · Cited by 117
NEUROBIOLOGICAL CONSTRAINTS ON BEHAVIORAL MODELS OF MOTIVATION
Nader, K., Bechara, A., & van der Kooy, D. (1997) · Annual Review of Psychology · doi:10.1146/annurev.psych.48.1.85 · Cited by 108
Washington, DC: Society for Neuroscience, 2011
Booth, C., Nowacki, J., Tsaneva-Atanasova, K., Brown, J. C. K., & Randall, A. D. (2011) · Cited by 93
Transient activation of midbrain dopamine neurons by reward risk
Fiorillo, C. D. (2011) · Neuroscience · doi:10.1016/j.neuroscience.2011.09.037 · Cited by 90
Lomanowska, A. M., Lovic, V., Rankine, M. J., Mooney, S. J., Robinson, T. E., & Kraemer, G. W. (2011) · Behavioural Brain Research · doi:10.1016/j.bbr.2011.01.033 · Cited by 89
Conditioning from an information processing perspective
Gallistel, C. R. (2003) · Behavioural Processes · doi:10.1016/s0376-6357(03)00019-6 · Cited by 84
Striatal dopamine release codes uncertainty in pathological gambling
Linnet, J., Mouridsen, K., Peterson, E., Møller, A., Doudet, D. J., & Gjedde, A. (2012) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2012.04.012 · Cited by 82
Tomie, A., Aguado, A., Pohorecky, L. A., & Benjamin, D. (2000) · Pharmacology Biochemistry and Behavior · doi:10.1016/s0091-3057(99)00241-5 · Cited by 78
The uncertainty processing theory of motivation
Anselme, P. (2009) · Behavioural Brain Research · doi:10.1016/j.bbr.2009.12.020 · Cited by 77 · cited 2×
“[1,9,10,13,17,22,24,27,28,31,40]).”
BackgroundSelf-citationEnvironmental enrichment reduces attribution of incentive salience to a food-associated stimulus
Beckmann, J. S., & Bardo, M. T. (2011) · Behavioural Brain Research · doi:10.1016/j.bbr.2011.09.021 · Cited by 67 · cited 2×
“[4] Beckmann JS, Bardo MT.”
BackgroundCONTRAFREELOADING IN STARLINGS: TESTING THE INFORMATION HYPOTHESIS
Bean, Mason, G. J., & Bateson, M. (1999) · Behaviour · doi:10.1163/156853999500712 · Cited by 55 · cited 2×
“For instance, there s evidence that animals prefer working to receive food rather than onsuming the same food from a freely available source [3,23], and he exploration of a novel environment – a situation that represents form of uncertainty – is correlated with the release of mesolimic dopamine in the brain [29].”
BackgroundShurtleff, D., Delamater, A. R., & Riley, A. L. (1983) · Animal Learning & Behavior · doi:10.3758/bf03199655 · Cited by 53
Tomie, A., Tirado, A. D., Yu, L., & Pohorecky, L. A. (2004) · Behavioural Brain Research · doi:10.1016/j.bbr.2003.11.006 · Cited by 49
[Decision making and the brain].
Sakagami, M. (2004) · PubMed · Cited by 46
The Foraging Behaviour of Mongolian Gerbils: a Behavioural Need or a Need To Know?
Forkman, B. (1996) · Behaviour · doi:10.1163/156853996x00071 · Cited by 43
The Influence of Partial Reinforcement on Serial Autoshaping with Pigeons
Collins, D. L., Young, D. B., Davies, K., & Pearce, J. M. (1983) · The Quarterly Journal of Experimental Psychology Section B · doi:10.1080/14640748308400893 · Cited by 42
Tail pinch induced stress-arousal facilitates brain stimulation reward
Katz, R. J., & Roth, K. A. (1979) · Physiology & Behavior · doi:10.1016/0031-9384(79)90422-0 · Cited by 37
Funamizu, A., Ito, M., Doya, K., Kanzaki, R., & Takahashi, H. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2012.08025.x · Cited by 26
Davey, G. C. L., Cleland, G. G., & Oakley, D. A. (1982) · Animal Learning & Behavior · doi:10.3758/bf03212279 · Cited by 24
Free-choice preference under uncertainty
Ono, K. (2000) · Behavioural Processes · doi:10.1016/s0376-6357(00)00069-3 · Cited by 18
The Effect of Uncertainty On the Food Intake of the Mongolian Gerbil
Forkman, B. (1993) · Behaviour · doi:10.1163/156853993x00579 · Cited by 18
Anselme, P., Robinson, M. J. F., DiFeliceantonio, A. G., & Berridge, K. C. (2011) · ORBi (University of Liège) · Cited by 2
Self-citation
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Sorted by citations
Roles of "wanting" and "liking" in motivating behavior: gambling, food, and drug addictions
Robinson, M. J. F., Fischer, A. M., Ahuja, A., Lesser, E. N., & Maniates, H. (2015) · Current topics in behavioral neurosciences · doi:10.1007/7854_2015_387 · Cited by 247
Self-citationLawrence, N., Verbruggen, F., Morrison, S., Adams, R. C., & Chambers, C. (2014) · Appetite · doi:10.1016/j.appet.2014.11.006 · Cited by 204
Robinson, M. J. F., Burghardt, P. R., Patterson, C. M., Nobile, C. W., Akil, H., Watson, S. J., Berridge, K. C., & Ferrario, C. R. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.71 · Cited by 189
Self-citationNeurobiological basis of individual variation in stimulus-reward learning
Flagel, S. B., & Robinson, T. E. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2016.12.004 · Cited by 165
Sign Tracking, but Not Goal Tracking, is Resistant to Outcome Devaluation
Morrison, S. E., Bamkole, M. A., & Nicola, S. M. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00468 · Cited by 137
“It is often thought to be a manifestation of Pavlovian conditioned approach (PCA), and thus driven by the incentive salience that has been attributed to the CS (Berridge, 2004; Anselme et al., 2013; Robinson et al., 2014).”
Background
Metadata
- Authors
- Anselme, P., Robinson, M. J. F., & Berridge, K. C.
- Affiliations
- University of Michigan (US)
- Corresponding author
- Anselme, Patrick
- Venue
- Behavioural Brain Research
- Publisher
- Elsevier BV
- Published
- 2013-02
- Volume
- 238
- Pages
- 53-61
- ISSN
- 0166-4328 (ISSN-L)
- PMC
- PMC4066390
- OpenAlex
- W2111104955
- Cited by
- 170
- References
- 61
- Citations by year
- 2026: 9 · 2025: 8 · 2024: 13 · 2023: 9 · 2022: 14 · 2021: 8 · 2020: 17 · 2019: 18 · 2018: 19 · 2017: 10 · 2016: 13 · 2015: 14 · 2014: 12 · 2013: 5
- FWCI
- 4.09
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Behavioural Brain Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Open Repository and Bibliography (University of Liège) (submittedVersion)
- Funders
- Belgian American Educational Foundation
- Educational Foundation of America
- National Institutes of Health
- National Institute of Mental Health (MH-63649, R01MH063649)
- National Institute on Drug Abuse (R01DA015188, DA015188-01-A1)
- 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
- reward uncertainty, incentive salience, sign-tracking, goal tracking, classical conditioning, reward probability, reward magnitude, autoshaping, motivation
- MeSH terms
- Animals, Attention, Behavior, Animal, Conditioning, Classical, Female, Motivation, Reward, Rats, Sprague-Dawley, Uncertainty, Rats
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