The DOI matches its Crossref record; 178 of the 178 references it cites were found in a registry or an index.
From prediction error to incentive salience: mesolimbic computation of reward motivation.
Open accessAbstract
Reward contains separable psychological components of learning, incentive motivation and pleasure. Most computational models have focused only on the learning component of reward, but the motivational component is equally important in reward circuitry, and even more directly controls behavior. Modeling the motivational component requires recognition of additional control factors besides learning. Here I discuss how mesocorticolimbic mechanisms generate the motivation component of incentive salience. Incentive salience takes Pavlovian learning and memory as one input and as an equally important input takes neurobiological state factors (e.g. drug states, appetite states, satiety states) that can vary independently of learning. Neurobiological state changes can produce unlearned fluctuations or even reversals in the ability of a previously learned reward cue to trigger motivation. Such fluctuations in cue-triggered motivation can dramatically depart from all previously learned values about the associated reward outcome. Thus, one consequence of the difference between incentive salience and learning can be to decouple cue-triggered motivation of the moment from previously learned values of how good the associated reward has been in the past. Another consequence can be to produce irrationally strong motivation urges that are not justified by any memories of previous reward values (and without distorting associative predictions of future reward value). Such irrationally strong motivation may be especially problematic in addiction. To understand these phenomena, future models of mesocorticolimbic reward function should address the neurobiological state factors that participate to control generation of incentive salience.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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
“All these observations indicate that the role of physiological ‘drive states’ is really to amplify the incentive value of their relevant incentive targets, and magnify their reward properties, rather than act as independent drives (Toates, 1986; Berridge, 2012).”
From Evolving Concepts of Emotion and Motivation (2018) · cites this paper as Berridge, 2012
In the citing paper
“By contrast, incentive salience has distinct signature features: often being cue-triggered as a temporary peak of desire to obtain or consume an associated reward (Berridge, 2001, 2012).”
From Evolving Concepts of Emotion and Motivation (2018) · cites this paper as Berridge, 2012
In the citing paper
“Reward cues alone are relatively powerless at producing motivation without an appropriate brain state. It’s the brain’s reaction to a cue that matters for ‘wanting’ motivation via incentive salience (Berridge, 2012; Dayan and Berridge, 2014).”
From Evolving Concepts of Emotion and Motivation (2018) · cites this paper as Berridge, 2012
In the citing paper
“Stress, similar to drugs of abuse, may also induce neurological changes that enhance dopaminergic activity and the attribution of incentive value to rewards and their cues (Berridge, 2012; T. E. Robinson, Angus, & Becker, 1985; Yap et al., 2015).”
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 Berridge, 2012
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
The 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
Koob, G. F., & Volkow, N. D. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.110 · Cited by 5,340
The Psychology of Learning and Motivation
(2021) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/s0079-7421(21)x0002-3 · Cited by 5,082
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-citationKapur, S. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.1.13 · Cited by 2,813
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
Back to Bentham? Explorations of Experienced Utility
Kahneman, D. J., Wakker, P. P., & Sarin, R. K. (1997) · The Quarterly Journal of Economics · doi:10.1162/003355397555235 · Cited by 2,537
Drug abuse: hedonic homeostatic dysregulation
Koob, G. F., & Moal, M. L. (1997) · Science · doi:10.1126/science.278.5335.52 · Cited by 2,535
Research works printed but not linked: 8
- Dickinson A., 2002, Stevens’ Handbook of Experimental Psychology: Learning, Motivation, and Emotion, 497
- Dickinson A., 2010, Pleasures of the Brain, 74
- DiFeliceantonio A.G., 2010, Neostriatal Sites of Mu Opioid Stimulation Enhance CS Motivational Magnets
- Heath R.G., 1996, Exploring the Mind‐Brain Relationship
- Kringelbach M.L., 2010, Pleasures of the Brain, 202
- Leyton M., 2010, Pleasures of the Brain, 222
- Robinson M.J.F., 2010, Instant Incentive Salience: dynamic Transformation of An Aversive Salt Cue Into a ‘Wanted’ Motivational Magnet
- Toates F., 1986, Motivational Systems
Cited by
Sorted by citations
Items 201–300 of 699
Generalization in neural networks: A broad survey
Rohlfs, C. (2024) · Neurocomputing · doi:10.1016/j.neucom.2024.128701 · Cited by 51
Sparks, L. M., Sciascia, J. M., Ayorech, Z., & Chaudhri, N. (2013) · Psychopharmacology · doi:10.1007/s00213-013-3292-5 · Cited by 37
Dopamine D2 receptor signaling on iMSNs is required for initiation and vigor of learned actions
Augustin, S. M., Loewinger, G. C., O’Neal, T. J., Kravitz, A. V., & Lovinger, D. M. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-00799-1 · Cited by 33
Aberrant orbitofrontal cortex reactivity to erotic cues in compulsive sexual behavior disorder
Golec, K., Draps, M., Stark, R., Pluta, A., & Gola, M. (2021) · Journal of Behavioral Addictions · doi:10.1556/2006.2021.00051 · Cited by 36
Surprise! Dopamine signals mix action, value and error
Collins, A. G. E., & Frank, M. J. (2015) · Nature Neuroscience · doi:10.1038/nn.4207 · Cited by 36
Examining the role of dopamine D2 and D3 receptors in Pavlovian conditioned approach behaviors
Fraser, K. M., Haight, J. L., Gardner, E. L., & Flagel, S. B. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.02.022 · Cited by 37
Family history of alcoholism and the human brain response to oral sucrose
Eiler, W. J. A., Džemidžić, M., Soeurt, C. M., Carron, C. R., Oberlin, B. G., Considine, R. V., Harezlak, J., & Kareken, D. A. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.12.019 · Cited by 39
Janssen, L. K., & Horstmann, A. (2022) · Brain Sciences · doi:10.3390/brainsci12040486 · Cited by 36
Wait and you shall see: sexual delay discounting in hypersexual Parkinson’s disease
Girard, R., Obeso, I., Thobois, S., Park, S. A., Vidal, T., Favre, É., Ulla, M., Broussolle, E., Krack, P., Durif, F., et al. (2018) · Brain · doi:10.1093/brain/awy298 · Cited by 34
The effects of cannabis use on salience attribution: a systematic review
Wijayendran, S. B., O’Neill, A., & Bhattacharyya, S. (2016) · Acta Neuropsychiatrica · doi:10.1017/neu.2016.58 · Cited by 36
Webber, H. E., de Dios, C., Kessler, D. A., Schmitz, J. M., Lane, S. D., & Suchting, R. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104835 · Cited by 35
From Oxytocin to Compassion: The Saliency of Distress
Kucerova, B., Levit‐Binnun, N., Gordon, I., & Golland, Y. (2023) · Biology · doi:10.3390/biology12020183 · Cited by 36
Beyond Reward Prediction Errors: Human Striatum Updates Rule Values During Learning
Ballard, I. C., Miller, E. M., Piantadosi, S. T., Goodman, N. D., & McClure, S. M. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx259 · Cited by 34
Jeste, D. V., Malaspina, D., Bagot, K. S., Barch, D. M., Cole, S. W., Dickerson, F., Dilmore, A. H., Ford, C. L., Karcher, N. R., Luby, J. L., et al. (2023) · Schizophrenia Bulletin · doi:10.1093/schbul/sbad031 · Cited by 38
Separating desire from prediction of outcome value
Berridge, K. C. (2023) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2023.07.007 · Cited by 37
Self-citationHernández-Ortiz, E., Luis-Islas, J., Tecuapetla, F., Gutiérrez, R., & Bermúdez‐Rattoni, F. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113365 · Cited by 33
From apathy to addiction: Insights from neurology and psychiatry
Kirschner, M., Rabinowitz, A. G., Singer, N., & Dagher, A. (2020) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.109926 · Cited by 37
Modulation of Locomotor Activation by the Rostromedial Tegmental Nucleus
Lavezzi, H. N., Parsley, K. P., & Zahm, D. S. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.223 · Cited by 35
The impact of environmental sounds on food reward
Peng-Li, D., Andersen, T., Finlayson, G., Byrne, D. V., & Wang, Q. J. (2021) · Physiology & Behavior · doi:10.1016/j.physbeh.2021.113689 · Cited by 32
Darwinian Hedonism and the Epidemic of Unhealthy Behavior
Williams, D. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316275047 · Cited by 33
Rational inattention and tonic dopamine
Mikhael, J. G., Lai, L., & Gershman, S. J. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008659 · Cited by 34
Computational Mechanisms of Addiction: Recent Evidence and Its Relevance to Addiction Medicine
Smith, R. S., Taylor, S., & Bilek, E. (2021) · Current Addiction Reports · doi:10.1007/s40429-021-00399-z · Cited by 32
Reduced Dopamine Transporter Expression in the Amygdala of Subjects Diagnosed With Schizophrenia
Markota, M., Sin, J. M., Pantazopoulos, H., Jonilionis, R., & Berretta, S. (2014) · Schizophrenia Bulletin · doi:10.1093/schbul/sbu084 · Cited by 31
The “highs and lows” of the human brain on dopaminergics: Evidence from neuropharmacology
Martins, D., Mehta, M. A., & Prata, D. P. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.06.003 · Cited by 32
Rapid Mental Fatigue Amplifies Age-Related Attentional Deficits
Wascher, E., & Getzmann, S. (2014) · Journal of Psychophysiology · doi:10.1027/0269-8803/a000127 · Cited by 33
Das, R., Freeman, T. P., & Kamboj, S. K. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.11.018 · Cited by 29
Targeted intervention: Computational approaches to elucidate and predict relapse in alcoholism
Heinz, A., Deserno, L., Zimmermann, U. S., Smolka, M. N., Beck, A., & Schlagenhauf, F. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.07.055 · Cited by 29
Lawrence, A. D., & Brooks, D. J. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00086 · Cited by 32
Cell-type and projection-specific dopaminergic encoding of aversive stimuli in addiction
Thibeault, K. C., Kutlu, M. G., Sanders, C. M., & Calipari, E. S. (2018) · Brain Research · doi:10.1016/j.brainres.2018.12.024 · Cited by 28
Ferguson, L. M., Ahrens, A. M., Longyear, L. G., & Aldridge, J. W. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.2947-19.2020 · Cited by 31
Dopamine release in the nucleus accumbens is altered following traumatic brain injury
Chen, Y.-H., Huang, E. Y., Kuo, T., Hoffer, B. J., Miller, J. P., Chou, Y., & Chiang, Y. H. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.02.001 · Cited by 29
Dissociable contributions of phasic dopamine activity to reward and prediction
Pan, W. X., Coddington, L. T., & Dudman, J. T. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109684 · Cited by 29
Temporal dissociation of salience and prediction error responses to appetitive and aversive taste
Hird, E., El‐Deredy, W., Jones, A. K. P., & Talmi, D. (2017) · Psychophysiology · doi:10.1111/psyp.12976 · Cited by 28
Models of neuromodulation for computational psychiatry
Iglesias, S., Tomiello, S., Schneebeli, M., & Stephan, K. E. (2016) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1420 · Cited by 28
Gu, X., FitzGerald, T. H. B., & Friston, K. J. (2019) · Psychopharmacology · doi:10.1007/s00213-019-05300-5 · Cited by 28
Neural substrates of updating the prediction through prediction error during decision making
Wang, Y., Ma, N., He, X., Li, N., Wei, Z., Yang, L., Zha, R., Han, L., Li, X., Zhang, D., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.05.041 · Cited by 27
Estradiol and progesterone in female reward-learning, addiction, and therapeutic interventions
Hilz, E. N., & Lee, H. J. (2022) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2022.101043 · Cited by 29
Pedophilic brain potential responses to adult erotic stimuli
Knott, V., Impey, D., Fisher, D. J., Delpero, E., & Fedoroff, P. (2015) · Brain Research · doi:10.1016/j.brainres.2015.12.004 · Cited by 26
Confirmation of interpersonal expectations is intrinsically rewarding
Reggev, N., Chowdhary, A., & Mitchell, J. P. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsab081 · Cited by 28
Orsini, C. A., Brown, T. E., Hodges, T. E., Alonso‐Caraballo, Y., Winstanley, C. A., & Becker, J. B. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1378-22.2022 · Cited by 33
Iglesias, A. G., Chiu, A. S., Wong, J. W. H., Campus, P., Li, F. R., Liu, Z., Bhatti, J. K., Patel, S. A., Deisseroth, K. A., Akil, H., et al. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0848-23.2023 · Cited by 32
Bossong, M. G., van Hell, H. H., Schubart, C. D., van Saane, W., Iseger, T. A., Jager, G., van Osch, M. J. P., Jansma, J. M., Kahn, R. S., Boks, M. P., et al. (2019) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2019.03.010 · Cited by 26
Raballo, A., Cicero, D. C., Kerns, J. G., Sanna, S., Pintus, M., Agartz, I., Pintus, E., Corrias, I., Lai, V. K. W., Петретто, Д. Р., et al. (2017) · Early Intervention in Psychiatry · doi:10.1111/eip.12449 · Cited by 29
The acute effects of nicotine on corticostriatal responses to distinct phases of reward processing
Wang, K. S., Zegel, M., Molokotos, E. K., Moran, L. V., Olson, D. P., Pizzagalli, D. A., & Janes, A. C. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-0611-5 · Cited by 30
The neurobiology of aesthetic chills: How bodily sensations shape emotional experiences
Schoeller, F., Jain, A., Pizzagalli, D. A., & Reggente, N. (2024) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-024-01168-x · Cited by 26
Does reward unpredictability reflect risk?
Anselme, P. (2014) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.12.003 · Cited by 27
Effects of nicotine self-administration on incentive salience in male Sprague Dawley rats
Overby, P. F., Daniels, C. W., Franco, A. P. D., Goenaga, J. G., Powell, G. L., Gipson, C. D., & Sanabria, F. (2018) · Psychopharmacology · doi:10.1007/s00213-018-4829-4 · Cited by 25
Altered reward anticipation: Potential explanation for weight gain in schizophrenia?
Grimm, O., Kaiser, S., Plichta, M. M., & Tobler, P. N. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.01.029 · Cited by 26
Anderson, B. A., Kim, H., Britton, M. K., & Kim, A. J. (2019) · Psychological Research · doi:10.1007/s00426-019-01212-3 · Cited by 28
Neurocognitive Components of Gambling Disorder
Navas, J. F., Billieux, J., Verdejo‐García, A., & Perales, J. C. (2019) · Routledge eBooks · doi:10.4324/9780429490750-7 · Cited by 38
Feeling-of-knowing experiences breed curiosity
Brooks, G., Yang, H., & Köhler, S. (2021) · Memory · doi:10.1080/09658211.2020.1867746 · Cited by 26
Brenes, J. C., & Schwarting, R. K. W. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102414 · Cited by 23
Motivating goal pursuit: The role of affect motivational intensity and activated goals
Hart, W., & Gable, P. A. (2013) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2013.05.002 · Cited by 24
Yang, X., Meng, Y., Tao, Y., Deng, R., Wang, H.-Y., Li, X., Wei, W., Yu, H., Wang, Q., Deng, W., et al. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.609458 · Cited by 25
Reliability assessment of temporal discounting measures in virtual reality environments
Bruder, L. R., Scharer, L., & Peters, J. (2021) · Scientific Reports · doi:10.1038/s41598-021-86388-8 · Cited by 23
Leach, P. T., Cordero, K. A., & Gould, T. J. (2013) · Behavioral Neuroscience · doi:10.1037/a0031913 · Cited by 23
Porter‐Stransky, K. A., Seiler, J. L., Day, J. J., & Aragona, B. J. (2013) · European Journal of Neuroscience · doi:10.1111/ejn.12253 · Cited by 23
García‐García, I., Zeighami, Y., & Dagher, A. (2017) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-017-0755-9 · Cited by 28
Modeling the effects of motivation on choice and learning in the basal ganglia
van Swieten, M. M. H., & Bogacz, R. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007465 · Cited by 23
Anderson, B. A., Folk, C. L., & Courtney, S. M. (2016) · Cortex · doi:10.1016/j.cortex.2016.05.006 · Cited by 24
A Computational View on the Nature of Reward and Value in Anhedonia
Huys, Q. J. M., & Browning, M. D. (2021) · Current topics in behavioral neurosciences · doi:10.1007/7854_2021_290 · Cited by 27
du Hoffmann, J., & Nicola, S. M. (2016) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2016.00144 · Cited by 24
Das, R., Gale, G., Hennessy, V. E., & Kamboj, S. K. (2018) · Journal of Visualized Experiments · doi:10.3791/56097 · Cited by 24
The Nucleus Accumbens Core Is Necessary for Responding to Incentive But Not Instructive Stimuli
Sicre, M., Meffre, J., Louber, D., & Ambroggi, F. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.0194-19.2019 · Cited by 23
Reis, H. S., Rodrigues, I. R. S., Anjos-Santos, A., Libarino-Santos, M., Serra, Y. A., Cata-Preta, E. G., Oliveira-Campos, D., Kisaki, N. D., Barros-Santos, T., Yokoyama, T. S., et al. (2020) · Psychopharmacology · doi:10.1007/s00213-020-05609-6 · Cited by 21
Li, C.-T., Lai, W., Liu, C., & Hsu, Y. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01282 · Cited by 20
Sydnor, V. J., Larsen, B., Kohler, C. G., Crow, A. J. D., Rush, S., Calkins, M. E., Gur, R. C., Gur, R. E., Ruparel, K., Kable, J. W., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-00986-y · Cited by 21
Galistu, A., & D’Aquila, P. S. (2013) · Psychopharmacology · doi:10.1007/s00213-013-3110-0 · Cited by 21
Soares, M. C., Cardoso, S. C., Carvalho, T. D. S., & Maximino, C. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.11.014 · Cited by 21
The interpretation of behavior-model correlations in unidentified cognitive models
van Maanen, L., & Miletić, S. (2020) · Psychonomic Bulletin & Review · doi:10.3758/s13423-020-01783-y · Cited by 23
Gross, M. E., de Araújo, D. B., Zedelius, C. M., & Schooler, J. W. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116125 · Cited by 21
Cannabinoid disruption of learning mechanisms involved in reward processingPreprint
Lupica, C. R., & Hoffman, A. F. (2018) · Learning & Memory · doi:10.1101/lm.046748.117 · Cited by 23
Neural Networks With Motivation
Shuvaev, S. A., Tran, N. B., Stephenson‐Jones, M., Li, B., & Koulakov, A. A. (2021) · UCL Discovery (University College London) · Cited by 20
Delfabbro, P., King, D. L., & Parke, J. (2022) · Addictive Behaviors · doi:10.1016/j.addbeh.2022.107540 · Cited by 20
Alabduljader, K., Cliffe, M., Sartor, F., Papini, G. B., Cox, W. M., & Kubis, H. (2018) · Eating Behaviors · doi:10.1016/j.eatbeh.2018.05.007 · Cited by 21
20 Years of Aberrant Salience in Psychosis: What Have We Learned?
Corlett, P. R., & Fraser, K. M. (2025) · American Journal of Psychiatry · doi:10.1176/appi.ajp.20240556 · Cited by 22
Cho, Y., Moujaes, F., Schleifer, C. H., Starc, M., Ji, J. L., Santamauro, N. P., Adkinson, B. D., Kolobaric, A., Flynn, M., Krystal, J. H., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119139 · Cited by 19
The Neuropsychology of Decision-Making
Vaidya, A. R., & Fellows, L. K. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-805308-9.00022-1 · Cited by 19
Human Striatal Response to Reward Anticipation Linked to Hippocampal Glutamate Levels
Bossong, M. G., Wilson, R. P., Appiah‐Kusi, E., McGuire, P. K., & Bhattacharyya, S. (2018) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyy011 · Cited by 19
Neural evidence for automatic value-modulated approach behaviour
Kim, H., & Anderson, B. A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.12.050 · Cited by 19
Badiani, A., Caprioli, D., & Pirro, S. D. (2019) · Psychopharmacology · doi:10.1007/s00213-019-05318-9 · Cited by 20
Danielsson, K., Stomberg, R., Adermark, L., Ericson, M., & Söderpalm, B. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01589-z · Cited by 19
A Biosocial Model of Affective Decision Making
Kitayama, S., & Tompson, S. (2015) · Advances in experimental social psychology · doi:10.1016/bs.aesp.2015.04.001 · Cited by 25
Luján, M. Á., Covey, D. P., Young-Morrison, R., Zhang, L.-Y., Kim, A., Morgado, F., Patel, S., Bass, C. E., Paladini, C. A., & Cheer, J. F. (2023) · Nature Communications · doi:10.1038/s41467-023-43131-3 · Cited by 20
Kawahata, K., & Fukunaga, K. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242317037 · Cited by 17
Imaging the Nonmotor Symptoms in Parkinson's Disease
Yousaf, T., Wilson, H., & Politis, M. (2017) · International review of neurobiology · doi:10.1016/bs.irn.2017.05.001 · Cited by 18
Misdeed of the need: towards computational accounts of transition to addiction
Keramati, M., Ahmed, S. H., & Gutkin, B. S. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.08.014 · Cited by 19
Lechner, W. V., Gunn, R. L., Minto, A., Philip, N. S., Brown, R. A., Uebelacker, L. A., Price, L. H., & Abrantes, A. M. (2017) · Substance Use & Misuse · doi:10.1080/10826084.2017.1400569 · Cited by 19
Kohli, A., Blitzer, D. N., Lefco, R. W., Barter, J. W., Haynes, M. R., Colalillo, S. A., Ly, M., & Zink, C. F. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.05.021 · Cited by 16
Central Nervous System and Peripheral Hormone Responses to a Meal in Children
Roth, C. L., Melhorn, S. J., Elfers, C., Scholz, K., Leon, M. R. B. D., Rowland, M. G., Kearns, S., Aylward, E., Grabowski, T. J., Saelens, B. E., et al. (2018) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-01525 · Cited by 17
Guo, D., Zhao, Y., Zhang, L., Wen, X., & Yin, C. (2019) · Journal of Neuroscience Psychology and Economics · doi:10.1037/npe0000102 · Cited by 17
Value, drug addiction and the brain
Loganathan, K., & Ho, E. T. W. (2021) · Addictive Behaviors · doi:10.1016/j.addbeh.2021.106816 · Cited by 18
Apparent sunk cost effect in rational agents
Ott, T., Masset, P., Gouvêa, T. S., & Kepecs, Á. (2022) · Science Advances · doi:10.1126/sciadv.abi7004 · Cited by 20
D’Aquila, P. S., & Galistu, A. (2017) · PLoS ONE · doi:10.1371/journal.pone.0177705 · Cited by 17
Stults‐Kolehmainen, M., Blacutt, M. E., Bartholomew, J. B., Boullosa, D. A., Janata, P., Koo, B. B., McKee, P. C., Casper, R. C., Budnick, C. J., Gilson, T. A., et al. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.901272 · Cited by 15
Theory-driven computational models of drug addiction in humans: Fruitful or futile?
Lim, T. V., & Ersche, K. D. (2023) · Addiction Neuroscience · doi:10.1016/j.addicn.2023.100066 · Cited by 16
Ricker, J. M., Hatch, J. D., Powers, D. D., & Cromwell, H. C. (2016) · Journal of comparative psychology · doi:10.1037/com0000034 · Cited by 16
Emergence of Altruistic Behavior Through the Minimization of Prediction Error
Baraglia, J., Nagai, Y., & Asada, M. (2016) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2016.2562121 · Cited by 16
Cannabis exposure during adolescence: A uniquely sensitive period for neurobiological effects
Peters, K. Z., Zlebnik, N. E., & Cheer, J. F. (2021) · International review of neurobiology · doi:10.1016/bs.irn.2021.07.002 · Cited by 20
“Wanting” versus “needing” related value: An fMRI meta‐analysis
Bosulu, J., Allaire, M., Tremblay‐Grénier, L., Luo, Y., Eickhoff, S. B., & Hétu, S. (2022) · Brain and Behavior · doi:10.1002/brb3.2713 · Cited by 17
Metadata
- Authors
- Berridge, K. C.
- Affiliations
- University of Michigan (US)
- Corresponding author
- Berridge, Kent C.
- ORCID
- Berridge, Kent C.
- Venue
- European Journal of Neuroscience
- Publisher
- Wiley
- Published
- 2012-04
- Volume
- 35
- Issue
- 7
- Pages
- 1124-1143
- ISSN
- 0953-816X (ISSN-L)
- 1460-9568
- PMC
- PMC3325516
- OpenAlex
- W2171592792
- Cited by
- 700
- References
- 175
- Citations by year
- 2026: 25 · 2025: 32 · 2024: 29 · 2023: 43 · 2022: 49 · 2021: 57 · 2020: 94 · 2019: 90 · 2018: 49 · 2017: 37 · 2016: 50 · 2015: 46 · 2014: 43 · 2013: 39 · 2012: 16
- FWCI
- 4.82
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- European Journal of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- Funders
- National Institutes of Health
- National Institute of Mental Health (MH-63649, R01MH063649)
- National Institute on Drug Abuse (R01DA017752, DA-017752, DA015188, R01DA015188)
- 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, reward motivation, mesolimbic system, mesocorticolimbic circuitry, Pavlovian learning, satiety, appetite, addiction, reward prediction error
- MeSH terms
- Animals, Computer Simulation, Forecasting, Humans, Learning, Limbic System, Models, Neurological, Motivation, Reward
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