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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.
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“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]
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“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]
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“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]
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“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]
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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
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Hsu, M., & Zhu, L. (2012) · Recherches économiques de Louvain · doi:10.3917/rel.783.0047 · Cited by 4
Context congruence: How associative learning modulates cultural evolution
Tamariz, M., Papa, A., Cristea, M., & McGuigan, N. (2023) · PLoS ONE · doi:10.1371/journal.pone.0282776 · Cited by 5
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Averbeck, B. B., Kilner, J. M., & Frith, C. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21436 · Cited by 4
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Sanfey, A. G., & Stallen, M. (2015) · Wiley eBooks · doi:10.1002/9781118468333.ch9 · Cited by 4
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Priestley, L., Mahmoodi, A., Reith, W. D., Khalighinejad, N., & Rushworth, M. F. S. (2026) · Nature Communications · doi:10.1038/s41467-026-68349-9 · Cited by 3
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Adaptive learning strategies in purely observational learning
Xu, Y., Guo, W., Huang, G., & Qu, C. (2022) · Current Psychology · doi:10.1007/s12144-022-03904-3 · Cited by 3
Ventromedial prefrontal cortex lesions disrupt learning to reward others
Gueguen, M., Cutler, J., Drew, D., Apps, M. A. J., Jeyaretna, D. S., Husain, M., Manohar, S., & Lockwood, P. L. (2025) · Brain · doi:10.1093/brain/awaf056 · Cited by 4
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Li, Z., Fattah, A., Timashev, P. S., & Zaikin, A. A. (2022) · Sensors · doi:10.3390/s22155907 · Cited by 3
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Sarrazin, V., Overman, M. J., Mezossy-Dona, L., Browning, M. D., & O’Shea, J. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03204-3 · Cited by 2
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Matsuda, S., Omori, T., McCleery, J. P., & Yamamoto, J. (2019) · The Psychological Record · doi:10.1007/s40732-019-00330-z · Cited by 2
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Song, Y., Zhao, S., Rong, M., Liu, Y., Gao, Y., Chen, W., Zhang, D., & Zheng, X. (2024) · Behavioral Sciences · doi:10.3390/bs14080630 · Cited by 2
Liu, J., Qu, C., Philippe, R., Li, S. S., Derrington, E. A., Corgnet, B., & Dreher, J.-C. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2606871123 · Cited by 2
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Fareri, D. S., & Delgado, M. R. (2013) · Cambridge University Press eBooks · doi:10.1017/cbo9780511843716.024 · Cited by 2
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Huang, Y., Pan, X., Mo, Y., & Ma, Q. (2015) · Neuroscience Letters · doi:10.1016/j.neulet.2015.11.021 · Cited by 2
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Campbell-Meiklejohn, D. K., & Frith, C. (2011) · Elsevier eBooks · doi:10.1016/b978-0-12-381431-9.00008-5 · Cited by 3
Kean, D., Renner, E., Atkinson, M., & Caldwell, C. A. (2022) · Animal Cognition · doi:10.1007/s10071-022-01654-0 · Cited by 2
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Fabian Grabenhorst, B. (2014) · Springer eBooks · doi:10.1007/978-94-017-8591-4_8 · Cited by 3
Cook, J. L., Swart, J. C., Froböse, M. I., Diaconescu, A. O., Geurts, D. E. M., den Ouden, H. E. M., & Cools, R. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/303982 · Cited by 2
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Wu, X., Fu, H., Aydogan, G., Feng, C., Qin, S., Zeng, Y., & Liu, C. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.10.26.354704 · Cited by 2
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Vogel, T. A., & Lockwood, P. L. (2023) · Perspectives on Psychological Science · doi:10.1177/17456916231187393 · Cited by 2
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Peng, X.-R., Bundil, I., Schulreich, S., & Li, S. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.61 · Cited by 1
Chang, X. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1693546 · Cited by 1
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Chan, V. K. S., Wong, N., Woo, T.-F., Watanabe, K., Haruno, M., Law, C.-K., & Chau, B. K. H. (2026) · Communications Biology · doi:10.1038/s42003-026-09550-w · Cited by 1
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Konovalov, A. (2026) · Springer eBooks · doi:10.1007/978-3-032-02925-6_25 · Cited by 1
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Li, T., Wang, L., Zhao, Y., Su, C., Eickhoff, S. B., Olsson, A., Feng, C., & Pan, Y. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106611 · Cited by 1
Shakeri, S., & Pirkalani, R. K. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.106470 · Cited by 1
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Sul, S., & Cho, I. (2023) · Cambridge University Press eBooks · doi:10.1017/9781108974325.006 · Cited by 1
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Liu, W., Mark, I. G., Korn, C. W., & Rosenblau, G. (2025) · Journal of Adolescence · doi:10.1002/jad.70025 · Cited by 2
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Shin, J., Kim, H., Ahn, J., & Kim, H. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121612 · Cited by 1
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Schwarcz, J., Bauer, J. M., Rajabi, H., Marmur, G., Reiner, R., Lottem, E., & Kadmon, J. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1013675 · Cited by 1
Charlton, C. E., Hauke, D. J., Vladimir Litvak, A., Wobmann, M., de Bock, R., Andreou, C., Borgwardt, S., Röth, V., & Diaconescu, A. O. (2026) · Human Brain Mapping · doi:10.1002/hbm.70433 · Cited by 1
Ruiz, S. G., Paskewitz, S., & Baskin-sommers, A. R. (2026) · Translational Psychiatry · doi:10.1038/s41398-026-03830-z · Cited by 1
Fareri, D. S., & Dejoie, J. M. (2026) · Springer eBooks · doi:10.1007/978-3-032-02925-6_22 · Cited by 1
Social learning of emotion and its implication for memory: an ERP study
Manivasagam, S., & Schacht, A. (2026) · Scientific Reports · doi:10.1038/s41598-026-42906-0 · Cited by 1
van der Plas, E., Todorova, L., Heidlmayr, K. D.-M., Jansen, G., Rosema, M., & Sanfey, A. G. (2026) · Scientific Reports · doi:10.1038/s41598-026-43389-9 · Cited by 1
Pabón, D. G., Hatfield-King, J., Patel, S., Horn, B., Burkett, J. P., & Andari, E. (2026) · Molecular Autism · doi:10.1186/s13229-026-00712-5 · Cited by 1
Affective valence as a computational signal for learning value
Teoh, Y. Y., Reisman, S. S., Heffner, J., & FeldmanHall, O. (2026) · Communications Psychology · doi:10.1038/s44271-026-00458-z · Cited by 1
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Tobler, P. N., & Christopoulos, G. I. (2016) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199357376.013.6 · Cited by 1
van der Helden, J., & Harold Bekkering, A. (2014) · Advances in mobile and distance learning book series · doi:10.4018/978-1-4666-5162-3.ch025 · Cited by 1
Reward Processing in Motivational and Affective Disorders
Skandali, N. (2016) · Frontiers research topics · doi:10.3389/978-2-88919-986-0 · Cited by 1
Dilliën, T., Brazil, I. A., Sabbe, B., & Goethals, K. (2023) · Sexual Offending Theory Research and Prevention · doi:10.5964/sotrap.7503 · Cited by 1
A calculus of probability or belief? Neural underpinnings of social decision-making in a card game
Chen, Y., Youk, S., Wang, P. T., Pinti, P., & Weber, R. (2023) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2023.108635 · Cited by 1
How the opinion of others affects our valuation of objects
Campbell-Meiklejohn, D. K., Bach, D. R., Roepstorff, A., Dolan, R. J., & Frith, C. (1970) · Frontiers in Behavioral Neuroscience · doi:10.3389/conf.neuro.08.2009.01.001 · Cited by 2
Social Value Learning Shifts Conceptual Representations of Faces.
Familiar, A., & Thompson‐Schill, S. L. (2018) · eScholarship (California Digital Library) · Cited by 1
Zhang, K., Zhang, K., Zhang, H., & Luo, W. (2019) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2019.01394 · Cited by 1
Ostojić, L. (2020) · Psihologijske teme · doi:10.31820/pt.29.3.7 · Cited by 1
Passingham, R. E. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198844570.003.0003 · Cited by 1
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Wischnewski, M., Hörberg, M. O. Y., & Schutter, D. J. L. G. (2024) · Psychophysiology · doi:10.1111/psyp.14590 · Cited by 1
Charting the Experience of Children and Adolescents Affected by Emotional Neglect
Wojtyna, E., & Gierczyk, M. (2024) · Routledge eBooks · doi:10.4324/9781032621203 · Cited by 1
Social Cognition, the Amygdala, and Autism
Adolphs, R. (2018) · Wiley eBooks · doi:10.1002/9781119362081.ch1 · Cited by 1
The interaction between task goals and the representation of choice options in decision-making
Bobadilla-Suarez, S. (2017) · UCL Discovery (University College London) · Cited by 1
Author response: Paranoia as a deficit in non-social belief updating
Reed, E., Uddenberg, S., Suthaharan, P., Mathys, C. D., Taylor, J. R., Groman, S. M., & Corlett, P. R. (2020) · eLife · doi:10.7554/elife.56345.sa2 · Cited by 1
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Schultz, J., & Frith, C. (2020) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/2k4mj · Cited by 2
Social framing effects in decision makingPreprint
Piray, P., Cools, R., & Toni, I. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.09.28.462257 · Cited by 1
Human aging alters Bayesian social inference about others’ changing intentionsPreprint
Reiter, A. M. F., Diaconescu, A. O., Eppinger, B., & Li, S. (2019) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/3etup · Cited by 1
Michael, J., Gutoreva, A., Lee, H. M., Tan, P. N., Bruce, E. M., Székely, M., Ankush, T., Sakaguchi, H., Walasek, L., & Ludvig, E. A. (2018) · doi:10.31234/osf.io/pw5tr · Cited by 1
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Overman, M., Sarrazin, V., Browning, M. D., & O’Shea, J. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.27.428488 · Cited by 1
Tuzsus, D., Pappas, I., & Peters, J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.09.593363 · Cited by 1
Reactivation of reward representations associated with the reinforcement of behaviorPreprint
Tong, A. P., Sreekumar, V., Inati, S. K., Zaghloul, K. A., & Woolrich, M. W. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.23.628672 · Cited by 1
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Pulcu, E., & Browning, M. D. (2025) · eLife · doi:10.7554/elife.103734.1 · Cited by 1
Wu, Q., & O’Doherty, J. P. (2025) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/ncz4j_v2
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Trognon, A. (2022) · theses.fr (ABES) · doi:10.70675/a61baf2dz0493z4668z80b0za8538881eb16 · Cited by 1
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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 ›
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