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A Neural Computational Model of Incentive Salience
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Incentive salience is a motivational property with 'magnet-like' qualities. When attributed to reward-predicting stimuli (cues), incentive salience triggers a pulse of 'wanting' and an individual is pulled toward the cues and reward. A key computational question is how incentive salience is generated during a cue re-encounter, which combines both learning and the state of limbic brain mechanisms. Learning processes, such as temporal-difference models, provide one way for stimuli to acquire cached predictive values of rewards. However, empirical data show that subsequent incentive values are also modulated on the fly by dynamic fluctuation in physiological states, altering cached values in ways requiring additional motivation mechanisms. Dynamic modulation of incentive salience for a Pavlovian conditioned stimulus (CS or cue) occurs during certain states, without necessarily requiring (re)learning about the cue. In some cases, dynamic modulation of cue value occurs during states that are quite novel, never having been experienced before, and even prior to experience of the associated unconditioned reward in the new state. Such cases can include novel drug-induced mesolimbic activation and addictive incentive-sensitization, as well as natural appetite states such as salt appetite. Dynamic enhancement specifically raises the incentive salience of an appropriate CS, without necessarily changing that of other CSs. Here we suggest a new computational model that modulates incentive salience by integrating changing physiological states with prior learning. We support the model with behavioral and neurobiological data from empirical tests that demonstrate dynamic elevations in cue-triggered motivation (involving natural salt appetite, and drug-induced intoxication and sensitization). Our data call for a dynamic model of incentive salience, such as presented here. Computational models can adequately capture fluctuations in cue-triggered 'wanting' only by incorporating modulation of previously learned values by natural appetite and addiction-related states.
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“These results are consistent with the incentive salience theory, however, and highlight the dissociation that can occur between the predictive value of a cue, driven by cue learning (cue-reward association), and the attribution of cue ‘wanting’ (T. E. Robinson & Flagel, 2009; Zhang, Berridge, Tindell, Smith, & Aldridge, 2009).”
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 Zhang, Berridge, Tindell, Smith, & Aldridge, 2009
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“The attribution of incentive salience is the product of previous experience (i.e., learned associations) interacting with an individual’s genetic propensity and neurobiological state 16,24–27.”
From A selective role for dopamine in stimulus-reward learning (2011) · cites this paper as [27]
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“The most convincing example occurs when a never-before experienced physiological state, such as a specific appetite, modulates cue-triggered motivation appropriately for a previously learned Pavlovian cue [2,3,9–14].”
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“Thus it seems safe to conclude that dynamic increases in incentive salience are expressed in behavior as well as in neural activation [15,86–90].”
BackgroundSelf-citationTaylor, J. R., & Horger, B. A. (1999) · Psychopharmacology · doi:10.1007/s002130050859 · Cited by 137 · cited 1×
“Such dynamic enhancement of CS incentive salience is also consistent with other behavioral demonstrations of incentive motivation enhancement by pharmacological dopamine activation or by psychostimulant-induced neural sensitization [72,73,79,80], even in the absence of additional learning [81–83].”
ResultGong, W., Neill, D. B., & Justice, J. B. (1996) · Brain Research · doi:10.1016/0006-8993(95)01222-2 · Cited by 134 · cited 1×
“In addition to receiving mesolimbic outputs, dopamine projections from VTA also ascend directly to ventral pallidum [67,68].”
BackgroundThe evolving theory of basal forebrain functional—anatomical ‘macrosystems’
Zahm, D. S. (2005) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2005.06.003 · Cited by 130 · cited 1×
“From ventral pallidum these signals then pass to a thalamic relay for return to mesocorticolimbic loops, or directly descend to other subcortical outputs [62,65,66].”
BackgroundZhang, J., Alexa Riehle, C., Requin, J., & Kornblum, S. (1997) · Journal of Neuroscience · doi:10.1523/jneurosci.17-06-02227.1997 · Cited by 129 · cited 1×
“The rationale is similar to a method proposed by one of us earlier (called ‘‘Locus Analysis’’) to characterize neurons in the primary motor cortex [78].”
MethodSelf-citationDopamine Scales Performance in the Absence of New Learning
Cagniard, B., Beeler, J. A., Britt, J. P., McGehee, D. S., Marinelli, M., & Zhuang, X. (2006) · Neuron · doi:10.1016/j.neuron.2006.07.026 · Cited by 129 · cited 1×
“Such dynamic enhancement of CS incentive salience is also consistent with other behavioral demonstrations of incentive motivation enhancement by pharmacological dopamine activation or by psychostimulant-induced neural sensitization [72,73,79,80], even in the absence of additional learning [81–83].”
ResultPalatability shift of a salt-associated incentive during sodium depletion.
Berridge, K. C., & Schulkin, J. A. (1989) · PubMed · Cited by 127
Self-citationContextual control of trigeminal sensorimotor function
Berridge, K. C., & Fentress, J. C. (1986) · Journal of Neuroscience · doi:10.1523/jneurosci.06-02-00325.1986 · Cited by 122 · cited 1×
“From ventral pallidum these signals then pass to a thalamic relay for return to mesocorticolimbic loops, or directly descend to other subcortical outputs [62,65,66].”
BackgroundSelf-citationPavlovian Processes in the Motivational Control of Instrumental Performance
Dickinson, A., & Dawson, G. (1987) · Quarterly Journal of Experimental Psychology · doi:10.1080/14640748708402264 · Cited by 118 · cited 2×
“feature is precisely why hungers make their relevant cues much more powerful motivators, as well as why a food CS can trigger an increase in appetite for its UCS in a not particularly hungry person or a drug CS trigger relapse in an addict [2–5,7,8,19,89,96,97].”
BackgroundThe extinction of within-compound flavor associations
Rescorla, R. A., & Freberg, L. A. (1978) · Learning and Motivation · doi:10.1016/0023-9690(78)90003-6 · Cited by 101
Oral glucose is the prime elicitor of preabsorptive insulin secretion
Grill, H. J., Berridge, K. C., & Ganster, D. J. (1984) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.1984.246.1.r88 · Cited by 92 · cited 1×
“Specific candidates for polarity reversal include reversals in reward values from nasty to nice, such as described below where an intensely salty taste reward is re-encountered during a salt appetite, or from nice to nasty such as after taste-aversion devaluation [10,50–52] (Figure 1).”
BackgroundSelf-citationNeuronal Coding of Serial Order: Syntax of Grooming in the Neostriatum
Aldridge, J. W., Berridge, K. C., Herman, M., & Zimmer, L. A. (1993) · Psychological Science · doi:10.1111/j.1467-9280.1993.tb00587.x · Cited by 91 · cited 1×
“[77].”
Self-citationInstrumental learning in hyperdopaminergic mice
Yin, H. H., Zhuang, X., & Balleine, B. W. (2006) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2005.12.001 · Cited by 77 · cited 1×
“Such dynamic enhancement of CS incentive salience is also consistent with other behavioral demonstrations of incentive motivation enhancement by pharmacological dopamine activation or by psychostimulant-induced neural sensitization [72,73,79,80], even in the absence of additional learning [81–83].”
ResultToates, F. M. (1986) · Open Research Online (The Open University) · Cited by 73
Addiction as vulnerabilities in the decision process
Redish, A. D., Jensen, S., & Johnson, A. C. (2008) · Behavioral and Brain Sciences · doi:10.1017/s0140525x08004986 · Cited by 69
Sensory preconditioning of flavors with a formalin-produced sodium need.
Fudim, O. K. (1978) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037//0097-7403.4.3.276 · Cited by 65 · cited 1×
“Ordinarily the rats would not prefer to consume either CS solution [ 10 ,50].”
BackgroundHedonics: The Cognitive–Motivational Interface
Dickinson, A., & Balleine, B. W. (2009) · Oxford University Press eBooks · doi:10.1093/oso/9780195331028.003.0006 · Cited by 62
Sensory preconditioning of flavors with a formalin-produced sodium need.
Fudim, O. K. (1978) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/0097-7403.4.3.276 · Cited by 51
Actions, policies, values, and the basal ganglia
Daw, N. D., Niv, Y., & Dayan, P. (2006) · MPG.PuRe (Max Planck Society) · Cited by 42
Computing motivation: Incentive salience boosts of drug or appetite states
Berridge, K. C., Zhang, J., & Aldridge, J. W. (2008) · Behavioral and Brain Sciences · doi:10.1017/s0140525x08004767 · Cited by 8
Self-citationNeural Coding of Pleasure: “Rose-tinted Glasses” of the Ventral Pallidum
Aldridge, J. W., & Berridge, K. C. (2009) · doi:10.1093/oso/9780195331028.003.0005 · Cited by 5
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
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
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
“But together in the right combinations they are motivationally compelling in a synergy that is greater than the sum of the parts (Zhang et al., 2009).”
Self-citationFrom 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
“The first form, which is usually applicable, is multiplicative (A; equation 3a in Zhang et al., 2009): A : ~rðrt; jÞ ¼ j rt: This form applies to the amplification of ‘wanting’ for a reward by addictive drug administration or by permanent drug-induced neural sensitization.”
BackgroundInfluentialSelf-citationDisentangling pleasure from incentive salience and learning signals in brain reward circuitry
Smith, K. S., Berridge, K. C., & Aldridge, J. W. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1101920108 · Cited by 464
“Separate animals (n = 10) were used to calculate spread of microinjection using Fos plume measurements used to guide functional mapping (SI Materials and Methods and SI Results).”
BackgroundInfluentialSelf-citationCollins, A. G. E., & Frank, M. J. (2014) · Psychological Review · doi:10.1037/a0037015 · Cited by 403
“These findings support the observations that motivational state at the time of choice can impact an animal's behavior to approach an action which had been preferentially associated with negative outcomes during learning (Zhang et al., 2009).”
Result
Metadata
- Authors
- Zhang, J., Berridge, K. C., Tindell, A. J., Smith, K. S., & Aldridge, J. W.
- Affiliations
- University of Michigan (US)
- McGovern Institute for Brain Research (US)
- Corresponding author
- Berridge, Kent C.
- Venue
- PLoS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2009-07-17
- Volume
- 5
- Issue
- 7
- Pages
- e1000437
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- PMC
- PMC2703828
- OpenAlex
- W2097552217
- Cited by
- 299
- References
- 98
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 5 · 2023: 12 · 2022: 15 · 2021: 19 · 2020: 57 · 2019: 53 · 2018: 17 · 2017: 11 · 2016: 11 · 2015: 11 · 2014: 15 · 2013: 23 · 2012: 17
- FWCI
- 4.84
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS Computational Biology (publishedVersion, public-domain)
- PubMed Central (publishedVersion, public-domain)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- PLoS eBooks
- Funders
- National Institutes of Health
- National Institute of Mental Health (MH-63649, R01MH063649)
- National Institute on Drug Abuse (R01DA017752, DA-017752, DA015188, R01DA015188)
- Air Force Office of Scientific Research
- 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
- incentive salience, computational model, want, physiological state, temporal difference learning, predictive value, addiction, salt appetite, motivation
- MeSH terms
- Algorithms, Animals, Appetite, Behavior, Animal, Brain, Conditioning, Classical, Dopamine, Learning, Limbic System, Models, Neurological, Motivation, Reward, Rats
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