The DOI matches its Crossref record; 32 of the 33 references it cites were found in a registry or an index.
Preferential activation of midbrain dopamine neurons by appetitive rather than aversive stimuli
Abstract
Midbrain dopamine systems are crucially involved in motivational processes underlying the learning and execution of goal-directed behaviour. Dopamine neurons in monkeys are uniformly activated by unpredicted appetitive stimuli such as food and liquid rewards and conditioned, reward-predicting stimuli. By contrast, fully predicted stimuli are ineffective, and the omission of predicted reward depresses their activity. These characteristics follow associative-learning rules, suggesting that dopamine responses report an error in reward prediction. Accordingly, neural network models are efficiently trained using a dopamine-like reinforcement signal. However, it is unknown whether the responses to environmental stimuli concern specific motivational attributes or reflect more general stimulus salience. To resolve this, we have compared dopamine impulse responses to motivationally opposing appetitive and aversive stimuli. In contrast to appetitive events, primary and conditioned non-noxious aversive stimuli either failed to activate dopamine neurons or, in cases of close resemblance with appetitive stimuli, induced weaker responses than appetitive stimuli. Thus, dopamine neurons preferentially report environmental stimuli with appetitive rather than aversive motivational value.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“In responding to infant social cues, whether positive or negative, mothers need to integrate both affective and cognitive information about their baby, and evaluate competing demands, before choosing the most appropriate behavioral response (52;53).”
From What’s in a smile? Maternal brain responses to infant facial cues (2008) · cites this paper as [53]
In the citing paper
“Thus, it is possible that the previously reported activations of dopamine neurons by punishers15,17,19,21–24,134 may have been due to physical impact of the tested stimuli, rather than true aversiveness.”
From Dopamine reward prediction-error signalling: A two-component response (2016) · cites this paper as [19]
In the citing paper
“The phasic dopamine activations by aversive stimuli seem to constitute the initial, unselective dopamine response component driven by physical impact25, and possibly boosted by reward context and reward generalization19, rather than reflecting a straightforward aversive response”
From Dopamine reward prediction-error signalling: A two-component response (2016) · cites this paper as [19]
In the citing paper
“whereas some studies have reported that aversive stimuli inhibit the DA activity of midbrain neurons (e.g., [67]), others have found that they elicit phasic DA release in the VS (e.g., [68]).”
From Contributions of the striatum to learning, motivation, and performance: an associative account (2012) · cites this paper as [67]
Citations
Cites
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
Classical conditioning II: Current research and theory.
Black, A. H., & Prokasy, W. F. (1972) · Appleton-Century-Crofts eBooks · Cited by 4,449
Wise, R. A., & Rompre, P.-P. (1989) · Annual Review of Psychology · doi:10.1146/annurev.ps.40.020189.001203 · Cited by 1,968
Toward a modern theory of adaptive networks: Expectation and prediction.
Sutton, R. S., & Barto, A. G. (1981) · Psychological Review · doi:10.1037/0033-295x.88.2.135 · Cited by 1,450
Schultz, W., Apicella, P., & Ljungberg, T. (1993) · The Journal of Neuroscience · doi:10.1523/jneurosci.13-03-00900.1993 · Cited by 1,291
Self-citationModels of Information Processing in the Basal Ganglia
(1994) · doi:10.7551/mitpress/4708.001.0001 · Cited by 1,190
Abercrombie, E. D., Keefe, K. A., DiFrischia, D. S., & Zigmond, M. J. (1989) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.1989.tb09224.x · Cited by 1,106
Responses of monkey dopamine neurons during learning of behavioral reactions
Ljungberg, T., Apicella, P., & Schultz, W. (1992) · Journal of Neurophysiology · doi:10.1152/jn.1992.67.1.145 · Cited by 987
Self-citationContemporary Animal Learning Theory.
Abrahamson, D. (1981) · Europe PMC (PubMed Central) · Cited by 945
Contemporary Animal Learning Theory
LoLordo, V. M., & Dickinson, A. (1982) · The American Journal of Psychology · doi:10.2307/1422669 · Cited by 890
Flagged first, then by citations
1 of the 33 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- 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).
- Gaffan, D. & Harrison, S. J. Neurosci. 7, 2285–2292 (1987).
Cited by
Sorted by citations
Items 601–700 of 824
Regulation of Extracellular Dopamine: Release and Uptake
Sulzer, D., Cragg, S. J., & Rice, M. E. (2016) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-802206-1.00019-2 · Cited by 10
Pavlovian-instrumental interactions in active avoidance: The bark of neutral trials
Lloyd, K., & Dayan, P. (2018) · Brain Research · doi:10.1016/j.brainres.2018.10.011 · Cited by 9
LIEBERMAN, P. H. (2007) · Cortex · doi:10.1016/j.cortex.2007.10.004 · Cited by 10
Mantas, I., Contestabile, A., Skara, V., Loiseau, C., Santos, I., Cramb, K. M. L., Filograna, R., Wade‐Martins, R., Magill, P. J., & Meletis, K. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.22.629963 · Cited by 12
Eye understand: Physiological measures as novel predictors of adaptive learning in horses
Evans, L., Cameron‐Whytock, H. A., & Ijichi, C. L. (2023) · Applied Animal Behaviour Science · doi:10.1016/j.applanim.2023.106152 · Cited by 9
Morris, L. S., Costi, S., Hameed, S., Collins, K. A., Stern, E. R., Chowdhury, A., Morel, C., Salas, R., Iosifescu, D. V., Han, M., et al. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-02957-7 · Cited by 9
Black, E. M., Samels, S. B., Xu, W., Barson, J. R., Bass, C. E., Kortagere, S., & España, R. A. (2023) · Addiction Neuroscience · doi:10.1016/j.addicn.2023.100104 · Cited by 8
Fiorilli, J., Marchesi, P., Ruikes, T. R., Veld, G. H. I. ’., Buckton, R., Duque-Quintero, M., Reiten, I., Bjaalie, J. G., & Pennartz, C. M. A. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae002 · Cited by 10
Use of Frontal Lobe Hemodynamics as Reinforcement Signals to an Adaptive Controller
DiStasio, M., & Francis, J. T. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069541 · Cited by 9
Nimitvilai, S., Arora, D. S., McElvain, M. A., & Brodie, M. S. (2012) · Neuroscience · doi:10.1016/j.neuroscience.2012.08.045 · Cited by 9
Simón, M. J., Higuera‐Matas, A., Roura‐Martínez, D., Ucha, M., Santos‐Toscano, R., Garcı́a-Lecumberri, C., Ambrosio, E., & Puerto, A. (2015) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2015.11.007 · Cited by 9
Electrophysiological Correlates of Reward Processing in Dopamine Neurons
Schultz, W. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-805308-9.00002-6 · Cited by 10
Self-citationInvolvement of the Mesocorticolimbic Dopaminergic System in Adaptive Behavior
Ivlieva, N. Y. (2011) · Neuroscience and Behavioral Physiology · doi:10.1007/s11055-011-9477-7 · Cited by 9
Roh, D. D., Chang, J.-G., & Kim, C. (2016) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2016.03.006 · Cited by 11
Segat, H. J., Metz, V. G., Rosa, H. Z., Dias, V. T., Barcelos, R. C. S., Dolci, G. S., & Bürger, M. E. (2018) · Neuroscience Letters · doi:10.1016/j.neulet.2018.10.007 · Cited by 9
Martin, J. C., Dougan, J. D., Wu, Q., Stanisz, L. A., Martyn, S., Rokosik, S. L., Garris, P. A., & Farmer‐Dougan, V. A. (2004) · Behavioural Processes · doi:10.1016/j.beproc.2004.03.016 · Cited by 9
Prümmer, J. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-61572-6_13 · Cited by 8
Neural Representation of Costs and Rewards in Decision Making
Chen, Y. (2021) · Brain Sciences · doi:10.3390/brainsci11081096 · Cited by 9
Endogenous Nociceptin System Involvement in Stress Responses and Anxiety Behavior
Fulford, A. J. (2015) · Vitamins and hormones · doi:10.1016/bs.vh.2014.12.012 · Cited by 8
Behavioral tagging: Plausible involvement of PKMζ, Arc and role of neurotransmitter receptor systems
Vishnoi, S., Naseem, M., Raisuddin, S., & Parvez, S. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.07.009 · Cited by 8
DelDonno, S. R., Karstens, A. J., Cerny, B. M., Kling, L. R., Jenkins, L. M., Stange, J. P., Nusslock, R., Shankman, S. A., & Langenecker, S. A. (2019) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2019.1585519 · Cited by 10
Kognitive Störungen: Koma, Delir, Demenz
Förstl, H. (2006) · Springer eBooks · doi:10.1007/3-540-30887-3_5 · Cited by 8
Neuronal Substrate of Eating Disorders
Calvez, J. (2014) · Brain Disorders & Therapy · doi:10.4172/2168-975x.1000121 · Cited by 8
Reframing dopamine: A controlled controller at the limbic-motor interface
Lloyd, K., & Dayan, P. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011569 · Cited by 8
LIEBERMAN, P. H. (2014) · Springer eBooks · doi:10.1007/978-1-4939-1562-0_4 · Cited by 7
Adaptive Dopaminergic Neurons Report the Appetitive Value of Environmental Stimuli
Schultz, W. (1997) · Advances in psychology · doi:10.1016/s0166-4115(97)80103-3 · Cited by 7
Self-citationPawlowsch-Instrumentelle Transfereffekte bei Alkoholabhängigkeit
Genauck, A., Huys, Q. J. M., Heinz, A., & Rapp, M. A. (2013) · SUCHT - Zeitschrift für Wissenschaft und Praxis / Journal of Addiction Research and Practice · doi:10.1024/0939-5911.a000256 · Cited by 7
Is Sugar as Addictive as Cocaine?
Ahmed, S. H. (2012) · Oxford University Press eBooks · doi:10.1093/med:psych/9780199738168.003.0035 · Cited by 7
Subtypes of Midbrain Dopamine Neurons
Subramaniam, M., & Roeper, J. (2016) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-802206-1.00016-7 · Cited by 7
Correction: Temporal-Difference Reinforcement Learning with Distributed Representations
Kurth-Nelson, Z. L., & Redish, A. D. (2009) · PLoS ONE · doi:10.1371/annotation/4a24a185-3eff-454f-9061-af0bf22c83eb · Cited by 7
Humphreys, S., Freire, R., Waran, N. K., & Randle, H. (2025) · Applied Animal Behaviour Science · doi:10.1016/j.applanim.2025.106760 · Cited by 7
The devilish details affecting TDRL models in dopamine research
Zhang, Z., Costa, K. M., Langdon, A., & Schoenbaum, G. M. (2025) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2025.02.001 · Cited by 8
Kato, A., & Morita, K. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.0170-25.2025 · Cited by 6
Klappenbach, M., Lara, A. E., & Locatelli, F. F. (2022) · Journal of Experimental Biology · doi:10.1242/jeb.244229 · Cited by 7
The Corticostriatal Pathway in Parkinson’s Disease
Bamford, N. S., & Cepeda, C. (2008) · Humana Press eBooks · doi:10.1007/978-1-60327-252-0_6 · Cited by 6
Reinforcement learning and dopamine in the striatum: A modeling perspective
Wanjerkhede, S. M., Bapi, R. S., & Mytri, V. D. (2014) · Neurocomputing · doi:10.1016/j.neucom.2013.02.061 · Cited by 5
Shibuya, T., Nakane, T., Takano, A., Yamauchi, J., & Morimoto, T. (2020) · Phytomedicine Plus · doi:10.1016/j.phyplu.2020.100007 · Cited by 6
McQuade, J.-A., Benoit, S. C., Woods, S. C., & Seeley, R. J. (2003) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2003.09.008 · Cited by 6
Regulation of Extracellular Dopamine
Sulzer, D., Zhang, H., Benoit‐Marand, M., & Gonon, F. (2010) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-374767-9.00017-2 · Cited by 8
Discovering the Causal Structure of the Hamilton Rating Scale for Depression Using Causal Discovery
Wang, L., Chignell, M., Jiang, H., Lokuge, S., Mason, G. E., Fotinos, K., & Katzman, M. A. (2021) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · doi:10.1109/bhi50953.2021.9508538 · Cited by 5
[Mechanisms of regulation of the food intake: recent advances].
Loviselli, A., Secci, G., Lai, A., & Velluzzi, F. (2007) · PubMed · Cited by 5
Pan, W. X., & Dudman, J. T. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4096-14.2015 · Cited by 5
Cell transplantation in the damaged adult brain
Jaber, M., Benoit‐Marand, M., Prestoz, L., & Gaillard, A. (2013) · Revue Neurologique · doi:10.1016/j.neurol.2013.07.026 · Cited by 6
Neuronal Nicotinic Receptors in Sleep-Related Epilepsy: Studies in Integrative Biology
Becchetti, A. (2012) · ISRN Biochemistry · doi:10.5402/2012/262941 · Cited by 5
Sharp, P. E. (2013) · Religion Brain & Behavior · doi:10.1080/2153599x.2013.826717 · Cited by 5
Twining, R. C., Hajnal, A. S., Han, L., Bruno, K. J., Hess, E. J., & Grigson, P. S. (2005) · International Journal of Comparative Psychology · doi:10.46867/ijcp.2005.18.04.01 · Cited by 5
Functional Imaging of Neurotransmission
Fischman, A. J., & Badgaiyan, R. D. (2007) · Current Medical Imaging Formerly Current Medical Imaging Reviews · doi:10.2174/157340507782446287 · Cited by 5
Saddoris, M. P., Siletti, K. A., Stansfield, K. J., & Bercum, F. M. (2018) · Learning & Memory · doi:10.1101/lm.047019.117 · Cited by 8
Lu, X., Xue, J., Lai, Y., & Tang, X. (2024) · The FASEB Journal · doi:10.1096/fj.202302031r · Cited by 4
Brown, P. L., Palacorolla, H., Cobb-Lewis, D. E., Jhou, T. C., McMahon, P., Bell, D., Elmer, G. I., & Shepard, P. D. (2024) · Neuroscience · doi:10.1016/j.neuroscience.2024.04.005 · Cited by 4
Osteopathic perturbation and immune network compensation
Degabriele, R. (2002) · Journal of Osteopathic Medicine · doi:10.1016/s1443-8461(02)80004-1 · Cited by 4
The Effects of Dopamine Receptor Agonists on the Sleep-Wake Cycle
Herrera-Solís, A., Arias-Carrión, Ó., Sarro-Ramírez, A., Salas-Crisóstomo, M., & Murillo‐Rodríguez, E. (2016) · Springer eBooks · doi:10.1007/978-3-319-46437-4_3 · Cited by 4
Hoffman, R. E., & McGlashan, T. H. (1999) · Progress in brain research · doi:10.1016/s0079-6123(08)63081-2 · Cited by 4
Bond, A. H., & Raleigh, M. J. (1999) · Behavioral and Brain Sciences · doi:10.1017/s0140525x99222042 · Cited by 4
da Silva, J. A., & Costa, R. M. (2012) · Nature Neuroscience · doi:10.1038/nn.3198 · Cited by 3
Electrophysiological correlates of reward processing in dopamine neurons
Tobler, P. N., & Kobayashi, S. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374620-7.00002-9 · Cited by 4
Limbrick‐Oldfield, E. H., Leech, R., Wise, R. G., & Ungless, M. A. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.14288 · Cited by 4
Sketching the Power of Machine Learning to Decrypt a Neural Systems Model of Behavior
Ernst, M., Gowin, J. L., Gaillard, C., Philips, R. T., & Grillon, C. (2019) · Brain Sciences · doi:10.3390/brainsci9030067 · Cited by 4
A Theoretical Information Processing-Based Approach to Basal Ganglia Function
Jog, M., & Aur, D. (2009) · Advances in behavioral biology · doi:10.1007/978-1-4419-0340-2_17 · Cited by 4
Yamanaka, K., Suzuki, M., Pham, L. T. T., Tomita, K., Nguyen, T. V., Takagishi, M., Tsukioka, K., Gouraud, S. S., & Waki, H. (2024) · Journal of Hypertension · doi:10.1097/hjh.0000000000003809 · Cited by 3
Lee, H., Jiang, N., & Samuel, S. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.111688 · Cited by 3
Manning, C., Fritz, M., & Kauer, J. A. (2022) · eNeuro · doi:10.1523/eneuro.0324-22.2022 · Cited by 3
Westwood, S., & Philiastides, M. G. (2024) · Human Brain Mapping · doi:10.1002/hbm.70072 · Cited by 4
Loh, M. K., Hurh, S. J., Bazzino, P., Donka, R. M., Keinath, A. T., Roitman, J. D., & Roitman, M. F. (2024) · eLife · doi:10.7554/elife.103260.2 · Cited by 5
Chapter 4.2 Microdialysis of dopamine and norepinephrine during conditioning and operant behaviour
Feenstra, M. G. P. (2006) · Handbook of behavioral neuroscience · doi:10.1016/s1569-7339(06)16018-x · Cited by 3
Майоров, В. И., & Frolov, A. G. (2005) · Neuroscience and Behavioral Physiology · doi:10.1007/s11055-005-0107-0 · Cited by 3
Dynamics of a Neuromodulator – I. The Role of Dopaminergic Signaling in Goal-Directed Behavior
Aboitiz, F. (2008) · Springer eBooks · doi:10.1007/978-3-540-70573-4_10 · Cited by 3
The biological and behavioral computations that influence dopamine responses
Stauffer, W. R. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.02.005 · Cited by 3
Reward responses of dopamine neurons: A biological reinforcement signal
Schultz, W. (1997) · Lecture notes in computer science · doi:10.1007/bfb0020125 · Cited by 3
Self-citationAcetylcholine modulates prefrontal outcome coding during threat learning under uncertainty
Tu, G., Wen, P., Halawa, A., & Takehara‐Nishiuchi, K. (2024) · eLife · doi:10.7554/elife.102986.2 · Cited by 9
The dopamine reward prediction error signal
Schultz, W. (2025) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-443-29867-7.00027-x · Cited by 6
Self-citationVersprille, L. J. F. W., McKenzie, C., Amorim, F. E., Yano, K., Dalley, J. W., & Robbins, T. W. (2026) · Journal of Neuroscience · doi:10.1523/jneurosci.1696-25.2026 · Cited by 2
Systems Neuroscience: Shaping the Reward Prediction Error Signal
Stauffer, W. R. (2015) · Current Biology · doi:10.1016/j.cub.2015.09.057 · Cited by 2
Synaptic Triad in the Neostriatum
Klug, J. R., Deutch, A. Y., Colbran, R. J., & Winder, D. J. (2011) · Frontiers in neuroscience · doi:10.1201/b11284-5 · Cited by 2
Developmental Aspects of Memory Processes
Stylianopoulou, F., & Stamatakis, A. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.21102-4 · Cited by 2
Reward prediction error in the ERP following unconditioned aversive stimuli
Stewardson, H. J., & Sambrook, T. D. (2021) · Scientific Reports · doi:10.1038/s41598-021-99408-4 · Cited by 2
Murray, S. B., Diaz‐Fong, J. P., Mak, V. W. T., & Feusner, J. D. (2024) · Brain and Behavior · doi:10.1002/brb3.3573 · Cited by 2
The Triadic Neural Systems Model through a Machine-Learning Mill
Ernst, M., Gowin, J., & Gaillard, C. (2022) · Cambridge University Press eBooks · doi:10.1017/9781108399838.028 · Cited by 1
LIEBERMAN, P. H. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-802652-6.00036-0 · Cited by 2
Rademacher, L., & Spreckelmeyer, K. N. (2013) · Springer eBooks · doi:10.1007/978-3-642-29800-4_25 · Cited by 2
McClure, S. M., & D’Ardenne, K. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374620-7.00010-8 · Cited by 5
Connectivity and Circuit Architecture Using Transsynaptic Tracing in Vertebrates
Miyamichi, K., & Schwarz, L. A. (2017) · Springer eBooks · doi:10.1007/978-3-319-57363-2_4 · Cited by 2
Dopaminergic Modulation of Glutamatergic Signaling in Striatal Medium Spiny Neurons
Shen, W., & Surmeier, D. J. (2009) · Humana Press eBooks · doi:10.1007/978-1-60327-333-6_7 · Cited by 2
Schultz, W. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00059-2 · Cited by 3
Self-citation6.4 Behavioral Functions of Dopamine Neurons
Tobler, P. N. (2009) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195373035.003.0022 · Cited by 3
The Badly Behaving Brain: How Ultra-Processed Food Addiction Thwarts Sustained Weight Loss
Thompson, S. P., & Thaw, A. K. (2024) · IntechOpen eBooks · doi:10.5772/intechopen.1004428 · Cited by 6
Joshua, M., Adler, A., & Bergman, H. (2009) · Advances in behavioral biology · doi:10.1007/978-1-4419-0340-2_5 · Cited by 2
Is what you feel what you don't know?
Moore, S., & Oaksford, M. (2000) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00422429 · Cited by 2
Ivlieva, N. Y., Timofeeva, N. O., & Ivliev, D. A. (2014) · The Journal of Cognitive Science · Cited by 2
Rare Rewards Amplify Dopamine Learning ResponsesPreprint
Rothenhoefer, K. M., Hong, T., Alikaya, A., & Stauffer, W. R. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/851709 · Cited by 2
Fiorilli, J., Marchesi, P., Ruikes, T. R., Veld, G. H. I. ’., Buckton, R., Duque-Quintero, M., Reiten, I., Bjaalie, J. G., & Pennartz, C. M. A. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.24.542117 · Cited by 2
Brainstem nuclei in autonomic control and arousal
de la Cruz, F., Bär, K., & Schumann, A. (2024) · Elsevier eBooks · doi:10.1016/b978-0-12-820480-1.00107-8 · Cited by 2
Functional Aspects of the Basal Ganglia
Wichmann, T. (2013) · Oxford University Press eBooks · doi:10.1093/med/9780199609536.003.0004 · Cited by 1
The Neural Correlates of Frustration: A Meta-Analysis on Frustrative Nonreward and Stress
Meng, Y., Yang, Y., Yang, Z., Xing, Y., Tan, S., & Zhong, N. (2023) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wi-iat59888.2023.00087 · Cited by 1
Baldermann, J. C., Rolker, S., Czornik, M., Meyer, D. M., Sajonz, B., Kost, M. S., Vestring, S., Normann, C., Endres, D., Domschke, K., et al. (2026) · Biological Psychiatry · doi:10.1016/j.biopsych.2026.04.015 · Cited by 1
A brief history of dopamine prediction errors
Dudhabhate, B. B., & Costa, K. M. (2026) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2026.1825622 · Cited by 2
The Neurocircuitry of Attachment and Recovery in Alcoholics Anonymous
Fricchione, G. L. (2014) · Alcoholism Treatment Quarterly · doi:10.1080/07347324.2014.907019 · Cited by 1
Li, W., Li, J., & Johnson, J. D. (2005) · Cognitive Systems Research · doi:10.1016/j.cogsys.2004.08.004 · Cited by 1
Gene-Environment Interplay and Prosocial Behavior An Analysis of Parent-Child Relationships
Meek, S. E. (2013) · Cited by 1
Reward Contexts Extend Dopamine Signals to Unrewarded Stimuli
Kobayashi, S., & Schultz, W. (2014) · Current Biology · doi:10.1016/j.cub.2014.01.057 · Cited by 1
Self-citation
Metadata
- Authors
- Mirenowicz, J., & Schultz, W.
- Affiliations
- University of Fribourg (CH)
- Venue
- Nature
- Published
- 1996-02
- Volume
- 379
- Issue
- 6564
- Pages
- 449-451
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1979640215
- Cited by
- 829
- References
- 33
- Citations by year
- 2026: 8 · 2025: 16 · 2024: 23 · 2023: 14 · 2022: 22 · 2021: 15 · 2020: 17 · 2019: 19 · 2018: 33 · 2017: 23 · 2016: 34 · 2015: 39 · 2014: 40 · 2013: 46 · 2012: 45
- FWCI
- 11.74
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- 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
- midbrain dopaminergic neurons, appetitive stimuli, aversive stimuli, reward prediction error, motivational value, stimulus salience, reinforcement learning, goal-directed behavior
- MeSH terms
- Animals, Haplorhini, Appetitive Behavior, Avoidance Learning, Dopamine, Mesencephalon, Neurons
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