The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Associative learning of social value
Open accessAbstract
Our decisions are guided by information learnt from our environment. This information may come via personal experiences of reward, but also from the behaviour of social partners. Social learning is widely held to be distinct from other forms of learning in its mechanism and neural implementation; it is often assumed to compete with simpler mechanisms, such as reward-based associative learning, to drive behaviour. Recently, neural signals have been observed during social exchange reminiscent of signals seen in studies of associative learning. Here we demonstrate that social information may be acquired using the same associative processes assumed to underlie reward-based learning. We find that key computational variables for learning in the social and reward domains are processed in a similar fashion, but in parallel neural processing streams. Two neighbouring divisions of the anterior cingulate cortex were central to learning about social and reward-based information, and for determining the extent to which each source of information guides behaviour. When making a decision, however, the information learnt using these parallel streams was combined within ventromedial prefrontal cortex. These findings suggest that human social valuation can be realized by means of the same associative processes previously established for learning other, simpler, features of the environment.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“While computational studies of decision-making about rewards and punishments show that participants adapt their rate of learning about action-outcome contingencies in response to changes in environmental volatility 8–10”
From Adults with autism overestimate the volatility of the sensory environment (2017) · cites this paper as [10]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Optimal integration of opinions, whether from human or artificial agents, should consider the following factors: their judgments, their confidence in the correctness of their opinions, and the average objective accuracy of the agents in similar situations in the past.”
From Enhancing human-AI collaboration: The case of colonoscopy (2024) · cites this paper as [44]
Experimental — accuracy not yet measuredIn the citing paper
“A common neural structure observed in studies involving social and non-social reinforcers is the human striatum”
From The social brain and reward: Social information processing in the human striatum (2014) · cites this paper as [3]
In the citing paper
“Finally, ventromedial prefrontal cortex appears to integrate information concerning advice from others, the validity of the advice, and the value of decision options 3, 52.”
From The social brain and reward: Social information processing in the human striatum (2014) · cites this paper as [3]
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
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. G. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.1998.712192 · Cited by 27,225
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. (2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.842673 · Cited by 25,268
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
Self-citationA 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
Evolution and the Theory of Games
Smith, J. M. (1988) · Springer eBooks · doi:10.1007/978-1-4684-7862-4_22 · Cited by 7,981
Evolution and the Theory of Games
Smith, J. M. (1982) · Cambridge University Press eBooks · doi:10.1017/cbo9780511806292 · Cited by 6,918
Meeting of minds: the medial frontal cortex and social cognition
Amodio, D. M., & Frith, C. D. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1884 · Cited by 3,782
Fehr, E., & Fischbacher, U. (2003) · Nature · doi:10.1038/nature02043 · Cited by 3,475 · cited 2×
“1, Methods and Supplementary Information): (1) the reward magnitude of each option (generated randomly at each trial); (2) the likely correct response (blue or green) based on their own experience of rewards on each option; and (3) the confederate’s advice, and how trustworthy the confederate currently was.”
BackgroundTemporal Autocorrelation in Univariate Linear Modeling of FMRI Data
Woolrich, M. W., Ripley, B. D., Brady, M., & Smith, S. M. (2001) · NeuroImage · doi:10.1006/nimg.2001.0931 · Cited by 2,859
Self-citationSocial perception from visual cues: Role of the STS region
Allison, T., Puce, A., & McCarthy, G. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01501-1 · Cited by 2,461
Cited by
Sorted by citations
Items 501–600 of 910
Computational Models in Social Neuroscience
Cheong, J. H., Jolly, E., Sul, S., & Chang, L. J. (2017) · Wiley eBooks · doi:10.1002/9781119159193.ch17 · Cited by 20
Reduced neural encoding of utility prediction errors in cocaine addiction
Konova, A. B., Ceceli, A. O., Horga, G., Moeller, S. J., Alia‐Klein, N., & Goldstein, R. Z. (2023) · Neuron · doi:10.1016/j.neuron.2023.09.015 · Cited by 20
Moughrabi, N., Botsford, C., Gruichich, T. S., Azar, A., Heilicher, M. O., Hiser, J., Crombie, K. M., Dunsmoor, J. E., Stowe, Z. N., & Cisler, J. M. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119709 · Cited by 22
A Common Neural Account for Social and Nonsocial Decisions
Arabadzhiyska, D. H., Garrod, O., Fouragnan, E. F., Luca, E. D., Schyns, P. G., & Philiastides, M. G. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0375-22.2022 · Cited by 23
Teachers recruit mentalizing regions to represent learners’ beliefs
Vélez, N., Chen, A. M., Burke, T. D., Cushman, F. A., & Gershman, S. J. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2215015120 · Cited by 23
Flexible Cultural Learning Through Action Coordination
Charbonneau, M., Curioni, A., McEllin, L. S., & Strachan, J. W. A. (2023) · Perspectives on Psychological Science · doi:10.1177/17456916231182923 · Cited by 21
Short-term reward experience biases inference despite dissociable neural correlates
Fischer, A. G., Bourgeois‐Gironde, S., & Ullsperger, M. (2017) · Nature Communications · doi:10.1038/s41467-017-01703-0 · Cited by 19
Development of social systems neuroscience using macaques
Isoda, M., Noritake, A., & Ninomiya, T. (2018) · Proceedings of the Japan Academy Series B · doi:10.2183/pjab.94.020 · Cited by 19
Flexible use of confidence to guide advice requests
Carlebach, N., & Yeung, N. (2022) · Cognition · doi:10.1016/j.cognition.2022.105264 · Cited by 23
Integrating Benefits and Costs in Decision Making
Wallis, J. D., & Rushworth, M. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-416008-8.00022-x · Cited by 19
Self-citationMinimal group membership biases early neural processing of emotional expressions
Gamond, L., Vilarem, E., Safra, L., Conty, L., & Grèzes, J. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13735 · Cited by 19
Pseudosocial cognition and paranoia
Corlett, P. R., Rossi-Goldthorpe, R. A., Suthaharan, P., Sheffield, J. M., Castiello, S., & Heyes, C. M. (2025) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2025.05.019 · Cited by 18
Obstruction increases activation in the right inferior frontal gyrus
Liu, T., Saito, H., & Oi, M. (2015) · Social Neuroscience · doi:10.1080/17470919.2015.1088469 · Cited by 18
Social processing by the primate medial frontal cortex
Putnam, P. T., & Chang, S. W. C. (2021) · International review of neurobiology · doi:10.1016/bs.irn.2020.12.003 · Cited by 19
Neural Responses of Benefiting From the Prosocial Exchange: The Effect of Helping Behavior
Olivo, D., Ciano, A. D., Mauro, J., Giudetti, L., Pampallona, A., Kubera, K. M., Hirjak, D., Wolf, R. C., & Sambataro, F. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.606858 · Cited by 18
Neural activity tracking identity and confidence in social information
Trudel, N., Lockwood, P. L., Rushworth, M. F. S., & Wittmann, M. K. (2023) · eLife · doi:10.7554/elife.71315 · Cited by 18
Self-citationMessimeris, D., Lévy, R., & Bouc, R. L. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1198262 · Cited by 19
Khorisantono, P. A., Huang, F.-Y., Sutcliffe, M. P. F., Fletcher, P. C., Farooqi, I. S., & Fabian Grabenhorst, B. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.1473-23.2023 · Cited by 18
Fan, S., Monte, O. D., Nair, A. R., Fagan, N. A., & Chang, S. W. C. (2024) · Neuron · doi:10.1016/j.neuron.2024.05.004 · Cited by 19
Dissociable functions of reward inference in the lateral prefrontal cortex and the striatum
Tanaka, S., Pan, X., Oguchi, M., Taylor, J. E., & Sakagami, M. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00995 · Cited by 19
Dopaminergic challenge dissociates learning from primary versus secondary sources of information
Rybicki, A. J., Sowden, S., Schuster, B. A., & Cook, J. L. (2022) · eLife · doi:10.7554/elife.74893 · Cited by 21
Cassidy, B. S., & Gutchess, A. H. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00319 · Cited by 19
Feature-based reward learning shapes human social learning strategies
Schultner, D. T., Molleman, L., & Lindström, B. (2025) · Nature Human Behaviour · doi:10.1038/s41562-025-02269-4 · Cited by 20
Isomorphic decisional biases across perceptual tasks
Treviño, M., Castiello, S., Arias-Carrión, Ó., de la Torre-Valdovinos, B., & Leon, R. (2021) · PLoS ONE · doi:10.1371/journal.pone.0245890 · Cited by 17
Acute restraint stress alters food-foraging behavior in rats: Taking the easier Way while suffered
Tu, B.-X., Wang, L.-F., Zhong, X., Hu, Z., Cao, W.-Y., Cui, Y., Li, S.-J., Zou, G.-J., Liu, Y., Zhou, S.-F., et al. (2019) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2019.04.021 · Cited by 20
Katahira, K., & Toyama, A. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008738 · Cited by 18
Sex Differences in Spontaneous Brain Activity in Adolescents With Conduct Disorder
Cao, W., Sun, X., Dong, D., Yao, S., & Huang, B. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01598 · Cited by 17
Editors' Introduction: Computational Approaches to Social Cognition
Cushman, F. A., & Gershman, S. J. (2019) · Topics in Cognitive Science · doi:10.1111/tops.12424 · Cited by 18
Neural Bases of Performance Monitoring
Ullsperger, M. (2017) · Wiley eBooks · doi:10.1002/9781118920497.ch17 · Cited by 18
Social Influence under uncertainty in interaction with peers, robots and computers
Zonca, J., Folsø, A., & Sciutti, A. (2023) · International Journal of Social Robotics · doi:10.1007/s12369-022-00959-x · Cited by 18
Mori, K., & Haruno, M. (2022) · Human Brain Mapping · doi:10.1002/hbm.25822 · Cited by 16
Suzuki, S., Zhang, X., Dezfouli, A., Braganza, L., Fulcher, B., Parkes, L., Fontenelle, L. F., Harrison, B. J., Murawski, C., Yücel, M., et al. (2023) · PLoS Biology · doi:10.1371/journal.pbio.3002031 · Cited by 16
Onyekuru, A. N., Marchant, R., Touza, J., Ume, C. O., Chiemela, C., Onyia, C., Eboh, E. C., & Eze, C. C. (2023) · Environment Development and Sustainability · doi:10.1007/s10668-023-03474-9 · Cited by 16
Defining the r factor for post-trauma resilience and its neural predictors
van Rooij, S. J. H., Santos, J. L., Hinojosa, C. A., Ely, T. D., Harnett, N. G., Murty, V. P., Lebois, L. A. M., Jovanović, T., House, S. L., Bruce, S. E., et al. (2024) · Nature Mental Health · doi:10.1038/s44220-024-00242-0 · Cited by 16
Corradi‐Dell’Acqua, C., Turri, F., Kaufmann, L., Clément, F., & Schwartz, S. (2015) · Cortex · doi:10.1016/j.cortex.2015.02.011 · Cited by 16
Schindler, S., Höhner, A., Moeck, R., Bruchmann, M., & Straube, T. (2021) · Psychological Science · doi:10.1177/0956797621995197 · Cited by 17
Cost-benefit analysis: the first real rule of fight club?
Hillman, K. L. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00248 · Cited by 17
The Evolution of Primate Communication and Metacommunication
Proust, J. (2016) · Mind & Language · doi:10.1111/mila.12100 · Cited by 16
Medial Prefrontal Cortex Activation Is Commonly Invoked by Reputation of Self and Romantic Partners
Kawamichi, H., Sasaki, A. T., Matsunaga, M., Yoshihara, K., Takahashi, H. K., Tanabe, H. C., & Sadato, N. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074958 · Cited by 16
Christian, P., Kaiser, J., Taylor, P. C., George, M., Schütz‐Bosbach, S., & Soutschek, A. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1669-23.2024 · Cited by 15
Chasing probabilities — Signaling negative and positive prediction errors across domains
Meder, D., Madsen, K. H., Hulme, O. J., & Siebner, H. R. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.019 · Cited by 15
The Neural Basis of Strategic Choice
Camerer, C. F., & Hare, T. A. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-416008-8.00025-5 · Cited by 15
Nicotinic modulation of salience network connectivity and centrality in schizophrenia
Smucny, J., Wylie, K. P., Kronberg, E., Legget, K. T., & Tregellas, J. R. (2017) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2017.01.018 · Cited by 15
Perceived Gaze Direction Modulates Neural Processing of Prosocial Decision Making
Sun, D., Shao, R., Wang, Z., & Lee, T. M. C. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00052 · Cited by 16
Neural mechanisms of social learning and decision-making
Ni, Y., & Li, J. (2020) · Science China Life Sciences · doi:10.1007/s11427-020-1833-8 · Cited by 16
Mood and Risk-Taking as Momentum for Creativity
Harada, T. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.610562 · Cited by 15
Electrophysiological Signatures of Hierarchical Learning
Liu, M., Dong, W., Qin, S., Verguts, T., & Chen, Q. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab245 · Cited by 16
Neural Correlates of Anhedonia as a Trait Marker for Depression
McCabe, C. (2014) · Springer eBooks · doi:10.1007/978-94-017-8610-2_6 · Cited by 15
Coordinated activation of premotor and ventromedial prefrontal cortices during vicarious reward
Shimada, S., Matsumoto, M., Takahashi, H., Yomogida, Y., & Matsumoto, K. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv134 · Cited by 15
Social regulation of survival circuits through learning
Olsson, A., FeldmanHall, O., Haaker, J., & Hensler, T. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.09.016 · Cited by 15
Aly-Mahmoud, M., Carlier, P., Salam, S. A., Selmani, M. H., Moftah, M. Z., Esclapez, M., & Boussaoud, D. (2017) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2017.00082 · Cited by 18
Pinkham, A. E., Hajdúk, M., Ziermans, T. B., Bang, M., Bertoux, M., Bodenhamer, B., Bonfils, K. A., Buunk, A. M., Chan, R. C. K., Davis, B. J., et al. (2025) · Schizophrenia · doi:10.1038/s41537-024-00540-7 · Cited by 14
Neural bases of loss aversion when choosing for oneself versus known or unknown others
Arioli, M., Basso, G., Baud‐Bovy, G., Mattioni, L., Poggi, P., & Canessa, N. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad025 · Cited by 16
Stimulating human prefrontal cortex increases reward learning
Overman, M. J., Sarrazin, V., Browning, M. D., & O’Shea, J. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120029 · Cited by 15
Ihssen, N., Mussweiler, T., & Linden, D. E. J. (2016) · Cognition · doi:10.1016/j.cognition.2016.04.012 · Cited by 14
The Role of Social Reward and Corticostriatal Connectivity in Substance Use
Sazhin, D., Frazier, A. M., Haynes, C. R., Johnston, C. R., Chat, I. K.-Y., Dennison, J. B., Bart, C. P., McCloskey, M., Chein, J. M., Fareri, D. S., et al. (2020) · Journal of Psychiatry and Brain Science · doi:10.20900/jpbs.20200024 · Cited by 15
Neural correlates of recursive thinking during interpersonal strategic interactions
Zhen, S., & Yu, R. (2021) · Human Brain Mapping · doi:10.1002/hbm.25355 · Cited by 14
Liakoni, V., Lehmann, M. P., Modirshanechi, A., Brea, J., Lutti, A., Wulfram Gerstner, B., & Preuschoff, K. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118780 · Cited by 16
Bogdan, P. C., Moore, M., Кузнєцов, І., Frank, J. D., Federmeier, K. D., Dolcos, S. M., & Dolcos, F. (2021) · Psychophysiology · doi:10.1111/psyp.13985 · Cited by 15
Neurocomputational mechanism of real-time distributed learning on social networks
Jiang, Y., Mi, Q., & Zhu, L. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01258-y · Cited by 16
Puskaric, M., von Helversen, B., & Rieskamp, J. (2016) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2016.1192209 · Cited by 14
Computational Psychiatry in Borderline Personality Disorder
Fineberg, S. K., Stahl, D. S., & Corlett, P. R. (2017) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-017-0104-y · Cited by 14
A Standard Framework for Social Cognition: interoperable algorithms for inference and representationPreprint
Barnby, J. M., Alon, N., Bellucci, G., Schilbach, L., Frith, C., & Bell, V. (2023) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/cmgu7 · Cited by 16
Chang, L.-A., Armaos, K., Warns, L., de Sousa, A. Q. M., Paauwe, F., Scholz, C., & Engelmann, J. B. (2023) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsad023 · Cited by 13
Heterogeneity in strategy use during arbitration between experiential and observational learning
Charpentier, C. J., Wu, Q., Min, S., Ding, W., Cockburn, J., & O’Doherty, J. P. (2024) · Nature Communications · doi:10.1038/s41467-024-48548-y · Cited by 15
Kumar, S., Rusch, T., Doshi, P., Spezio, M., & Gläscher, J. P. (2022) · Scientific Reports · doi:10.1038/s41598-021-04272-x · Cited by 12
Neurocomputational mechanisms underlying fear-biased adaptation learning in changing environments
Wang, Z., Nan, T., Goerlich, K. S., Li, Y., Aleman, A., Luo, Y., & Xu, P. (2023) · PLoS Biology · doi:10.1371/journal.pbio.3001724 · Cited by 10
Human aging alters social inference about others’ changing intentions
Reiter, A. M. F., Diaconescu, A. O., Eppinger, B., & Li, S. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.01.034 · Cited by 14
Specific neural correlates of successful learning and adaptation during social exchanges
Smith, A. P. R., Fiorentini, C., Kessler, E., Boyd, H., Roberts, F., & Skuse, D. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss079 · Cited by 13
Olsen, K., Roepstorff, A., & Bang, D. (2019) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/jqheu · Cited by 13
Bobadilla-Suarez, S., Guest, O., & Love, B. C. (2020) · Communications Biology · doi:10.1038/s42003-020-01315-3 · Cited by 15
Lohrenz, T. M., Bhatt, M. A., Apple, N., & Montague, P. R. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003275 · Cited by 12
Brunstrom, J. M., Flynn, A. N., Rogers, P. J., Zhai, Y., & Schatzker, M. (2023) · Physiology & Behavior · doi:10.1016/j.physbeh.2023.114127 · Cited by 12
Social modulation of cognition: Lessons from rhesus macaques relevant to education
Monfardini, E., Reynaud, A. J., Prado, J., & Meunier, M. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.12.002 · Cited by 13
Local striatal reward signals can be predicted from corticostriatal connectivity
Smittenaar, P., Kurth-Nelson, Z. L., Mohammadi, S., Weiskopf, N., & Dolan, R. J. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.042 · Cited by 12
Private but not social information validity modulates social conformity bias
Li, L., Li, K. K., & Li, J. (2019) · Human Brain Mapping · doi:10.1002/hbm.24536 · Cited by 12
Social Dominance Representations in the Human Brain
Ligneul, R., & Dreher, J. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-805308-9.00017-8 · Cited by 15
Social uncertainty is heterogeneous and sometimes valuable
Kappes, A., Nußberger, A.-M., Siegel, J. Z., Rutledge, R. B., & Crockett, M. J. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0662-y · Cited by 12
Cahalan, S., Mitroff, S. R., Subiaul, F., & Rosenblau, G. (2025) · Personality Neuroscience · doi:10.1017/pen.2025.10002 · Cited by 11
Contagion of Temporal Discounting Value Preferences in Neurotypical and Autistic Adults
Thomas, L., Lockwood, P. L., Garvert, M. M., & Balsters, J. H. (2021) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-021-04962-5 · Cited by 11
Culture, theory-of-mind, and morality: How independent and interdependent minds make moral judgments
Park, B., Vepachedu, S., Keshava, P., & Minns, S. A. (2022) · Biological Psychology · doi:10.1016/j.biopsycho.2022.108423 · Cited by 12
Neurocomputational mechanisms of biased impression formation in lonely individuals
Bellucci, G., & Park, S. Q. (2023) · Communications Biology · doi:10.1038/s42003-023-05429-2 · Cited by 12
Modeling Emotion and Learning of Norms in Social Interactions
Chang, L. J., & Koban, L. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0973-13.2013 · Cited by 11
Constantino, F. C., Garat, S., Nicolaisen‐Sobesky, E., Paz, V., Martínez‐Montes, E., Kessel, D., Cabana, Á., & Gradin, V. B. (2020) · Social Neuroscience · doi:10.1080/17470919.2020.1859410 · Cited by 12
Home alone: A population neuroscience investigation of brain morphology substrates
Noonan, M. P., Zajner, C., & Bzdok, D. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.119936 · Cited by 11
Knowledge of Social Affiliations Biases Economic Decisions
Martinez, J. E., Mack, M. L., Gelman, B. D., & Preston, A. R. (2016) · PLoS ONE · doi:10.1371/journal.pone.0159918 · Cited by 12
Advice-taking as a bridge between decision neuroscience and mental capacity
van der Plas, E., David, A. S., & Fleming, S. M. (2019) · International Journal of Law and Psychiatry · doi:10.1016/j.ijlp.2019.101504 · Cited by 13
McDonald, B., Becker, K., Meshi, D., Heekeren, H. R., & von Scheve, C. (2020) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-020-00802-8 · Cited by 12
Do social utility judgments influence attentional processing?
Shore, D. M., & Heerey, E. A. (2013) · Cognition · doi:10.1016/j.cognition.2013.06.011 · Cited by 12
Dark Control: Towards a Unified Account of Default Mode Function by Markov Decision ProcessesPreprint
Dohmatob, E., Dumas, G., & Bzdok, D. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/148890 · Cited by 12
A computational signature of self-other mergence in Borderline Personality Disorder
Story, G. W., Ereira, S., Valle, S., Chamberlain, S. R., Grant, J. E., & Dolan, R. J. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03170-w · Cited by 11
Anxiety and depression related abnormalities in socio-affective learning
Hammond, D., Xu, P., Ai, H., & Dam, N. T. V. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.05.021 · Cited by 11
Do, K. T., Paolizzi, S. G., & Hallquist, M. N. (2024) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2024.101415 · Cited by 12
Oxytocin Effect on Collective Decision Making: A Randomized Placebo Controlled Study
Hertz, U., Kelly, M. G., Rutledge, R. B., Winston, J. S., Wright, N. D., Dolan, R. J., & Bahrami, B. (2016) · PLoS ONE · doi:10.1371/journal.pone.0153352 · Cited by 10
Werlen, E., Shin, S.-L., Gastambide, F., François, J., Tricklebank, M. D., Marston, H. M., Huxter, J. R., Gilmour, G., & Walton, M. E. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0564-8 · Cited by 10
Montague, P. R., Lohrenz, T. M., & Dayan, P. (2015) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2015.02.009 · Cited by 10
Organization of the Social Brain in Macaques and Humans
Noonan, M. P., Mars, R. B., Neubert, F.-X., Ahmed, B., Smith, J. E. T., Krug, K., & Sallet, J. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-805308-9.00015-4 · Cited by 10
Forio: a Swiss treatment program for young sex offenders with intellectual disabilities
Hollomotz, A., & Schmitz, S. C. (2018) · Journal of Intellectual Disabilities and Offending Behaviour · doi:10.1108/jidob-05-2018-0007 · Cited by 10
Sanchez, G., Lecaignard, F., Otman, A., Maby, E., & Mattout, J. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00347 · Cited by 12
Metadata
- Authors
- Behrens, T. E. J., Hunt, L. T., Woolrich, M. W., & Rushworth, M. F. S.
- Affiliations
- John Radcliffe Hospital (GB)
- Corresponding author
- Behrens, Timothy E. J.
- Venue
- Nature
- Published
- 2008-11
- Volume
- 456
- Issue
- 7219
- Pages
- 245-249
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC2605577
- OpenAlex
- W2056448794
- Cited by
- 925
- References
- 34
- Citations by year
- 2026: 42 · 2025: 52 · 2024: 36 · 2023: 58 · 2022: 49 · 2021: 69 · 2020: 54 · 2019: 65 · 2018: 54 · 2017: 62 · 2016: 64 · 2015: 53 · 2014: 52 · 2013: 62 · 2012: 56
- FWCI
- 16.59
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
- Keywords
- social valuation, social learning, associative learning, reward learning, decision-making, advice taking, anterior cingulate cortex, ventromedial prefrontal cortex, social exchange, computational models of learning
- MeSH terms
- Adult, Female, Humans, Learning, Male, Middle Aged, Reward, Social Behavior, Models, Statistical, Prefrontal Cortex
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