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
Berridge, K. C., & Kringelbach, M. L. (2015) · Neuron · doi:10.1016/j.neuron.2015.02.018 · Cited by 1,730
Self-citationLiking, wanting, and the incentive-sensitization theory of addiction
Berridge, K. C., & Robinson, T. E. (2016) · American Psychologist · doi:10.1037/amp0000059 · Cited by 1,440
Self-citationNeurophysiology of performance monitoring and adaptive behavior
Ullsperger, M., Danielmeier, C., & Jocham, G. (2014) · Physiological Reviews · doi:10.1152/physrev.00041.2012 · Cited by 634
Ashok, A. H., Marques, T. R., Jauhar, S., Nour, M. M., Goodwin, G. M., Young, A. H., & Howes, O. D. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.16 · Cited by 546
Neuroscience of affect: brain mechanisms of pleasure and displeasure
Berridge, K. C., & Kringelbach, M. L. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.01.017 · Cited by 532
Self-citationPrediction error in reinforcement learning: A meta-analysis of neuroimaging studies
Garrison, J. R., Erdeniz, B., & Done, J. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.03.023 · Cited by 460
Collins, A. G. E., & Frank, M. J. (2014) · Psychological Review · doi:10.1037/a0037015 · Cited by 403
The human sexual response cycle: Brain imaging evidence linking sex to other pleasures
Georgiadis, J. R., & Kringelbach, M. L. (2012) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.05.004 · Cited by 422
Mechanisms of motivation–cognition interaction: challenges and opportunities
Braver, T. S., Krug, M. K., Chiew, K. S., Kool, W., Westbrook, J. A., Clement, N. J., Adcock, R. A., Barch, D. M., Botvinick, M., Carver, C. S., et al. (2014) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-014-0300-0 · Cited by 452
Dopamine Prediction Errors in Reward Learning and Addiction: From Theory to Neural Circuitry
Keiflin, R., & Janak, P. H. (2015) · Neuron · doi:10.1016/j.neuron.2015.08.037 · Cited by 401
Motivation and Personality: A Neuropsychological Perspective
Corr, P. J., DeYoung, C. G., & McNaughton, N. (2013) · Social and Personality Psychology Compass · doi:10.1111/spc3.12016 · Cited by 374
Model-based and model-free Pavlovian reward learning: Revaluation, revision, and revelation
Dayan, P., & Berridge, K. C. (2014) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-014-0277-8 · Cited by 357
Self-citationHeterogeneity of Alcohol Use Disorder: Understanding Mechanisms to Advance Personalized Treatment
Litten, R. Z., Ryan, M. L., Falk, D. E., Reilly, M., Fertig, J. B., & Koob, G. F. (2015) · Alcoholism: Clinical and Experimental Research · doi:10.1111/acer.12669 · Cited by 330
Instant transformation of learned repulsion into motivational “wanting”
Robinson, M. J. F., & Berridge, K. C. (2013) · Current Biology · doi:10.1016/j.cub.2013.01.016 · Cited by 320
Self-citationProcess Account of Curiosity and Interest: A Reward-Learning Perspective
Murayama, K., FitzGibbon, L., & Sakaki, M. (2019) · Educational Psychology Review · doi:10.1007/s10648-019-09499-9 · Cited by 334
A value-driven mechanism of attentional selection
Anderson, B. A. (2013) · Journal of Vision · doi:10.1167/13.3.7 · Cited by 332
Quantifying Individual Variation in the Propensity to Attribute Incentive Salience to Reward Cues
Meyer, P., Lovic, V., Saunders, B. T., Yager, L. M., Flagel, S. B., Morrow, J. D., & Robinson, T. E. (2012) · PLoS ONE · doi:10.1371/journal.pone.0038987 · Cited by 325
The role of dopamine in the accumbens core in the expression of Pavlovian‐conditioned responses
Saunders, B. T., & Robinson, T. E. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2012.08217.x · Cited by 325
Can Pornography be Addictive? An fMRI Study of Men Seeking Treatment for Problematic Pornography Use
Gola, M., Wordecha, M., Sescousse, G., Lew-Starowicz, M., Kossowski, B., Wypych, M., Makeig, S., Potenza, M. N., & Marchewka, A. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.78 · Cited by 299
An integrative perspective on the role of dopamine in schizophrenia
Maia, T. V., & Frank, M. J. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.05.021 · Cited by 293
New Targets for Schizophrenia Treatment beyond the Dopamine Hypothesis
Yang, A. C., & Tsai, S. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18081689 · Cited by 286
Evolving Concepts of Emotion and Motivation
Berridge, K. C. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01647 · Cited by 273
Self-citationPersistence of value-driven attentional capture.
Anderson, B. A., & Yantis, S. (2012) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0030860 · Cited by 290
Nucleus accumbens medium spiny neurons subtypes signal both reward and aversion
Soares-Cunha, C., de Vasconcelos, N. A. P., Coimbra, B., Domingues, A. V., Silva, J. M., Loureiro-Campos, E., Gaspar, R., Sotiropoulos, I., Sousa, N., & Rodrigues, A. J. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0484-3 · Cited by 256
Biomarkers in Parkinson’s disease (recent update)
Sharma, S. K., Moon, C. S., Khogali, A., Haidous, A., Chabenne, A., Ojo, C., Jelebinkov, M., Kurdi, Y., & Ebadi, M. (2013) · Neurochemistry International · doi:10.1016/j.neuint.2013.06.005 · Cited by 249
Neuromodulatory Systems and Their Interactions: A Review of Models, Theories, and Experiments
Avery, M. C., & Krichmar, J. L. (2017) · Frontiers in Neural Circuits · doi:10.3389/fncir.2017.00108 · Cited by 250
Reinforcement learning in depression: a review of computational research
Chen, C., Takahashi, T., Nakagawa, S., Inoue, T., & Kusumi, I. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.05.005 · Cited by 233
On the motivational properties of reward cues: Individual differences
Robinson, T. E., Yager, L. M., Cogan, E. S., & Saunders, B. T. (2013) · Neuropharmacology · doi:10.1016/j.neuropharm.2013.05.040 · Cited by 261
Computational Models of Interoception and Body Regulation
Petzschner, F. H., Garfinkel, S. N., Paulus, M. P., Koch, C., & Khalsa, S. S. (2021) · Trends in Neurosciences · doi:10.1016/j.tins.2020.09.012 · Cited by 227
The dopaminergic midbrain encodes the expected certainty about desired outcomes
Schwartenbeck, P., FitzGerald, T. H. B., Mathys, C., Dolan, R., & Friston, K. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu159 · Cited by 219
Homeostatic reinforcement learning for integrating reward collection and physiological stability
Keramati, M., & Gutkin, B. (2014) · eLife · doi:10.7554/elife.04811 · Cited by 218
Peciña, S., & Berridge, K. C. (2013) · European Journal of Neuroscience · doi:10.1111/ejn.12174 · Cited by 216
Self-citationPerisse, E., Owald, D., Barnstedt, O., Talbot, C. B., Huetteroth, W., & Waddell, S. (2016) · Neuron · doi:10.1016/j.neuron.2016.04.034 · Cited by 227
Saddoris, M. P., Cacciapaglia, F., Wightman, R. M., & Carelli, R. M. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.2344-15.2015 · Cited by 217
The Neuroscience of Learning: Beyond the Hebbian Synapse
Gallistel, C. R., & Matzel, L. D. (2012) · Annual Review of Psychology · doi:10.1146/annurev-psych-113011-143807 · Cited by 212
Politis, M., Loane, C., Wu, K., O’Sullivan, S. S., Woodhead, Z., Kiferle, L., Lawrence, A. D., Lees, A. J., & Piccini, P. (2013) · Brain · doi:10.1093/brain/aws326 · Cited by 191
Reward Processing and Risk for Depression Across Development
Luking, K. R., Pagliaccio, D., Luby, J. L., & Barch, D. M. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.04.002 · Cited by 190
Affective valence in the brain: modules or modes?
Berridge, K. C. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0122-8 · Cited by 196
Self-citationInfluence of reward motivation on human declarative memory
Lombard, E., Bavelier, D., & Schwartz, S. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.11.015 · Cited by 191
Stephenson‐Jones, M., Bravo-Rivera, C., Ahrens, S., Furlan, A., Xiao, X., Fernandes-Henriques, C., & Li, B. (2020) · Neuron · doi:10.1016/j.neuron.2019.12.006 · Cited by 165
Noninvasive brain stimulation treatments for addiction and major depression
Dunlop, K., Hanlon, C. A., & Downar, J. (2017) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12985 · Cited by 171
Bariselli, S., Hörnberg, H., Prévost-Solié, C., Musardo, S., Hatstatt-Burklé, L., Scheiffele, P., & Bellone, C. (2018) · Nature Communications · doi:10.1038/s41467-018-05382-3 · Cited by 171
Reward uncertainty enhances incentive salience attribution as sign-tracking
Anselme, P., Robinson, M. J. F., & Berridge, K. C. (2013) · Behavioural Brain Research · doi:10.1016/j.bbr.2012.10.006 · Cited by 170
“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-citationNeurobiological mechanisms of social attachment and pair bonding
Johnson, Z. V., & Young, L. J. (2015) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2015.01.009 · Cited by 169
Individual variation in resisting temptation: Implications for addiction
Saunders, B. T., & Robinson, T. E. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.02.008 · Cited by 177
Striatal ups and downs: Their roles in vulnerability to addictions in humans
Leyton, M., & Vezina, P. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.01.018 · Cited by 165
Cue-Evoked Cocaine "Craving": Role of Dopamine in the Accumbens Core
Saunders, B. T., Yager, L. M., & Robinson, T. E. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0450-13.2013 · Cited by 155
Sebold, M., Nebe, S., Garbusow, M., Guggenmos, M., Schad, D. J., Beck, A., Kuitunen‐Paul, S., Sommer, C., Frank, R., Neu, P., et al. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.04.019 · Cited by 162
Estradiol, Dopamine and Motivation
Yoest, K. E., Cummings, J., & Becker, J. B. (2015) · Central Nervous System Agents in Medicinal Chemistry · doi:10.2174/1871524914666141226103135 · Cited by 161
Animal affect and decision-making
Mendl, M., & Paul, E. S. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.01.025 · Cited by 171
Learning from Action: Reconsidering Movement Signaling in Midbrain Dopamine Neuron Activity
Coddington, L. T., & Dudman, J. T. (2019) · Neuron · doi:10.1016/j.neuron.2019.08.036 · Cited by 150
Juechems, K., & Summerfield, C. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.07.012 · Cited by 160
Conscious motor intention emerges in the inferior parietal lobule
Desmurget, M., & Angela Sirigu, B. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.06.006 · Cited by 147
Dopamine and the aberrant salience hypothesis of schizophrenia
Howes, O. D., & Nour, M. M. (2016) · World Psychiatry · doi:10.1002/wps.20276 · Cited by 146
Revisiting the Role of Rewards in Motivation and Learning: Implications of Neuroscientific Research
Hidi, S. E. (2015) · Educational Psychology Review · doi:10.1007/s10648-015-9307-5 · Cited by 167
Differential effects of acute stress on anticipatory and consummatory phases of reward processing
Kumar, P., Berghorst, L. H., Nickerson, L. D. H., Dutra, S. J., Goer, F., Greve, D. N., & Pizzagalli, D. A. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.01.058 · Cited by 146
Neurofunctional domains derived from deep behavioral phenotyping in alcohol use disorder
Kwako, L. E., Schwandt, M. L., Ramchandani, V. A., Diazgranados, N., Koob, G. F., Volkow, N. D., Blanco, C., & Goldman, D. (2019) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.18030357 · Cited by 138
The functional human neuroanatomy of food pleasure cycles
Kringelbach, M. L., Stein, A. L., & van Hartevelt, T. J. (2012) · Physiology & Behavior · doi:10.1016/j.physbeh.2012.03.023 · Cited by 151
Interest Development and Its Relation to Curiosity: Needed Neuroscientific Research
Hidi, S. E., & Renninger, K. A. (2019) · Educational Psychology Review · doi:10.1007/s10648-019-09491-3 · Cited by 137
Attentional bias for nondrug reward is magnified in addiction.
Anderson, B. A., Faulkner, M. L., Rilee, J. J., Yantis, S., & Marvel, C. L. (2013) · Experimental and Clinical Psychopharmacology · doi:10.1037/a0034575 · Cited by 131
Automatic versus Choice-Dependent Value Representations in the Human Brain
Grueschow, M., Polania, R., Hare, T. A., & Ruff, C. C. (2015) · Neuron · doi:10.1016/j.neuron.2014.12.054 · Cited by 130
O’Doherty, J. P. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.03.027 · Cited by 136
Berridge, K. C. (2016) · Neuroethics · doi:10.1007/s12152-016-9286-3 · Cited by 128
Self-citationImpact of Early Life Stress on Reward Circuit Function and Regulation
Hanson, J. L., Williams, A. V., Bangasser, D. A., & Peña, C. J. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.744690 · Cited by 133
Role of nicotinic acetylcholine receptors in regulating dopamine neuron activity
Faure, P., Tolu, S., Valverde, S., & Naudé, J. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.05.040 · Cited by 125
How Are Curiosity and Interest Different? Naïve Bayes Classification of People’s Beliefs
Donnellan, E., Aslan, S., Fastrich, G. M., & Murayama, K. (2021) · Educational Psychology Review · doi:10.1007/s10648-021-09622-9 · Cited by 125
Yager, L. M., & Robinson, T. E. (2013) · Psychopharmacology · doi:10.1007/s00213-012-2890-y · Cited by 123
Shared striatal activity in decisions to satisfy curiosity and hunger at the risk of electric shocks
Lau, J. K. L., Ozono, H., Kuratomi, K., Komiya, A., & Murayama, K. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0848-3 · Cited by 131
Gola, M. K., Draps, M., Marchewka, A., & Sescousse, G. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00402 · Cited by 126
Central role for the insular cortex in mediating conditioned responses to anticipatory cues
Kusumoto‐Yoshida, I., Liu, H., Chen, B. T., Fontanini, A., & Bonci, A. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1416573112 · Cited by 119
Stress effects on the neural substrates of motivated behavior
Hollon, N. G., Burgeno, L. M., & Phillips, P. E. M. (2015) · Nature Neuroscience · doi:10.1038/nn.4114 · Cited by 129
The functional logic of corticostriatal connections
Shipp, S. (2017) · Brain Structure and Function · doi:10.1007/s00429-016-1250-9 · Cited by 118
Habitual daily intake of a sweet and fatty snack modulates reward processing in humans
Thanarajah, S. E., DiFeliceantonio, A. G., Albus, K., Kuzmanovic, B., Rigoux, L., Iglesias, S., Hanßen, R., Schlamann, M., Cornely, O. A., Brüning, J. C., et al. (2023) · Cell Metabolism · doi:10.1016/j.cmet.2023.02.015 · Cited by 131
Neural responses to exclusion predict susceptibility to social influence.
Falk, E. B., Cascio, C. N., Brook O'Donnell, M., Carp, J., Tinney, F. J., Bingham, C. R., Shope, J. T., Ouimet, M. C., Pradhan, A. K., & Simons-Morton, B. G. (2014) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2013.12.035 · Cited by 115
Error-related brain activity reveals self-centric motivation: Culture matters.
Kitayama, S., & Park, J. (2013) · Journal of Experimental Psychology General · doi:10.1037/a0031696 · Cited by 124
Dopamine, reward learning, and active inference
FitzGerald, T. H. B., Dolan, R. J., & Friston, K. (2015) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2015.00136 · Cited by 112
Reichelt, A. C., Killcross, S., Hambly, L. D., Morris, M. J., & Westbrook, R. F. (2015) · Learning & Memory · doi:10.1101/lm.038000.114 · Cited by 120
Hunters, busybodies and the knowledge network building associated with deprivation curiosity
Lydon‐Staley, D. M., Zhou, D., Sizemore, A. E., Zurn, P., & Bassett, D. S. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-00985-7 · Cited by 120
Ziegler, S., Pedersen, M. L., Mowinckel, A. M., & Biele, G. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.09.002 · Cited by 110
Optimal inference with suboptimal models: Addiction and active Bayesian inference
Schwartenbeck, P., FitzGerald, T. H. B., Mathys, C. D., Dolan, R. J., Wurst, F. M., Kronbichler, M., & Friston, K. J. (2014) · Medical Hypotheses · doi:10.1016/j.mehy.2014.12.007 · Cited by 111
How foraging works: Uncertainty magnifies food-seeking motivation
Anselme, P., & Güntürkün, O. (2018) · Behavioral and Brain Sciences · doi:10.1017/s0140525x18000948 · Cited by 109
Steinman, M. Q., Duque-Wilckens, N., & Trainor, B. C. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.10.008 · Cited by 105
Variety Seeking, Satiation, and Maximizing Enjoyment Over Time
Sevilla, J., Lu, J., & Kahn, B. E. (2018) · Journal of Consumer Psychology · doi:10.1002/jcpy.1068 · Cited by 104
A Genetically Defined Compartmentalized Striatal Direct Pathway for Negative Reinforcement
Xiao, X., Deng, H., Furlan, A., Yang, T., Zhang, X., Hwang, G.-R., Tucciarone, J., Wu, P., He, M., Palaniswamy, R., et al. (2020) · Cell · doi:10.1016/j.cell.2020.08.032 · Cited by 101
Valdivia, S., Anabela, P., Reynaldo, M., & Perelló, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087478 · Cited by 107
Motivation and reward mechanisms in health behavior change processes
Michaelsen, M. M., & Esch, T. (2021) · Brain Research · doi:10.1016/j.brainres.2021.147309 · Cited by 105
The seductive lure of curiosity: information as a motivationally salient reward
FitzGibbon, L., Lau, J. K. L., & Murayama, K. (2020) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2020.05.014 · Cited by 94
Investigating habits: strategies, technologies and models
Smith, K. S., & Graybiel, A. M. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00039 · Cited by 102
The role of learning-related dopamine signals in addiction vulnerability
Huys, Q. J. M., Tobler, P. N., Hasler, G., & Flagel, S. B. (2014) · Progress in brain research · doi:10.1016/b978-0-444-63425-2.00003-9 · Cited by 92
Anselme, P., & Robinson, M. J. F. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316823279.009 · Cited by 94
Eddie, D., Kim, C. D., Lehrer, P. M., Deneke, E., & Bates, M. E. (2014) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-014-9251-z · Cited by 111
Food cue regulation of AGRP hunger neurons guides learning
Berrios, J., Li, C., Madara, J. C., Garfield, A. S., Steger, J. S., Krashes, M. J., & Lowell, B. B. (2021) · Nature · doi:10.1038/s41586-021-03729-3 · Cited by 88
The Dopamine Prediction Error: Contributions to Associative Models of Reward Learning
Nasser, H. M., Calu, D. J., Schoenbaum, G. M., & Sharpe, M. J. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00244 · Cited by 97
Onaolapo, A. Y., & Onaolapo, O. J. (2018) · Pathophysiology · doi:10.1016/j.pathophys.2018.04.002 · Cited by 102
Food Addiction and Binge Eating: Lessons Learned from Animal Models
Novelle, M. G., & Diéguez, C. (2018) · Nutrients · doi:10.3390/nu10010071 · Cited by 90
What is abnormal about addiction-related attentional biases?
Anderson, B. A. (2016) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2016.08.002 · Cited by 93
Schiff, S., Amodio, P., Testa, G., Nardi, M., Montagnese, S., Caregaro, L., di Pellegrino, G., & Sellitto, M. (2015) · Brain and Cognition · doi:10.1016/j.bandc.2015.10.001 · Cited by 88
Bechara, A., Berridge, K. C., Bickel, W. K., Morón, J. A., Williams, S. B., & Stein, J. S. (2019) · Psychological Science in the Public Interest · doi:10.1177/1529100619860513 · Cited by 82
Self-citationMotivational control of sign-tracking behaviour: A theoretical framework
Anselme, P. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.03.014 · Cited by 85
Millard, S. J., Bearden, C. E., Karlsgodt, K. H., & Sharpe, M. J. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-01188-y · Cited by 83
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
