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
Flagged first, then by citations
Cited by
Sorted by citations
Items 201–300 of 910
Neural mechanisms for learning self and other ownership
Lockwood, P. L., Wittmann, M. K., Apps, M. A. J., Klein-Flügge, M. C., Crockett, M. J., Humphreys, G. W., & Rushworth, M. F. S. (2018) · Nature Communications · doi:10.1038/s41467-018-07231-9 · Cited by 98
Self-citationDynamical Representation of Dominance Relationships in the Human Rostromedial Prefrontal Cortex
Ligneul, R., Obeso, I., Ruff, C. C., & Dreher, J. (2016) · Current Biology · doi:10.1016/j.cub.2016.09.015 · Cited by 104
Bellucci, G., Feng, C., Camilleri, J. A., Eickhoff, S. B., & Krüeger, F. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.06.024 · Cited by 100
Understanding Interpersonal Function in Psychiatric Illness Through Multiplayer Economic Games
King‐Casas, B., & Chiu, P. H. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.03.033 · Cited by 103
Suspicious Minds: Exploring Neural Processes during Exposure to Deceptive Advertising
Craig, A. W., Loureiro, Y. K., Wood, S. L., & Vendemia, J. M. C. (2011) · Journal of Marketing Research · doi:10.1509/jmr.09.0007 · Cited by 93
Development of New Food-Sharing Relationships in Vampire Bats
Carter, G. G., Farine, D. R., Crisp, R. J., Vrtilek, J. K., Ripperger, S. P., & Page, R. A. (2020) · Current Biology · doi:10.1016/j.cub.2020.01.055 · Cited by 93
Sevgi, M., Diaconescu, A. O., Tittgemeyer, M., & Schilbach, L. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.11.025 · Cited by 94
RetractedReciprocity of social influence
Mahmoodi, A., Bahrami, B., & Mehring, C. (2018) · Nature Communications · doi:10.1038/s41467-018-04925-y · Cited by 102
Sevgi, M., Diaconescu, A. O., Henco, L., Tittgemeyer, M., & Schilbach, L. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.09.032 · Cited by 97
Striatal activations signal prediction errors on confidence in the absence of external feedback
Daniel, R., & Pollmann, S. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.058 · Cited by 101
Anxiety Impedes Adaptive Social Learning Under Uncertainty
Lamba, A., Frank, M. J., & FeldmanHall, O. (2020) · Psychological Science · doi:10.1177/0956797620910993 · Cited by 94
Decision-making in a changing world: a study in autism spectrum disorders
Robic, S., Sonié, S., Fonlupt, P., Henaff, M.-A., Touil, N., Coricelli, G., Mattout, J., & Schmitz, C. (2015) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-014-2311-7 · Cited by 88
Affective bias as a rational response to the statistics of rewards and punishments
Pulcu, E., & Browning, M. D. (2017) · eLife · doi:10.7554/elife.27879 · Cited by 88
Different brain networks mediate the effects of social and conditioned expectations on pain
Koban, L., Jepma, M., López‐Solà, M., & Wager, T. D. (2019) · Nature Communications · doi:10.1038/s41467-019-11934-y · Cited by 95
Food labels promote healthy choices by a decision bias in the amygdala
Fabian Grabenhorst, B., Schulte, F. P., Maderwald, S., & Brand, M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.012 · Cited by 92
Iigaya, K., Hauser, T. U., Kurth-Nelson, Z. L., O’Doherty, J. P., Dayan, P., & Dolan, R. J. (2020) · Science Advances · doi:10.1126/sciadv.aba3828 · Cited by 89
Gu, X., Wang, X., Hula, A., Wang, S., Xu, S., Lohrenz, T. M., Knight, R. T., Gao, Z., Dayan, P., & Montague, P. R. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.2906-14.2015 · Cited by 92
Bahrami, B., Olsen, K., Bang, D., Roepstorff, A., Rees, G. E., & Frith, C. (2011) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0025708 · Cited by 87
Disrupted prediction errors index social deficits in autism spectrum disorder
Balsters, J. H., Apps, M. A. J., Bolis, D., Lehner, R., Gallagher, L., & Wenderoth, N. (2017) · Brain · doi:10.1093/brain/aww287 · Cited by 85
The value of genuine and polite smiles.
Shore, D. M., & Heerey, E. A. (2011) · Emotion · doi:10.1037/a0022601 · Cited by 85
Neural Mechanisms Underlying Human Consensus Decision-Making
Suzuki, S., Adachi, R., Dunne, S., Bossaerts, P. L., & O’Doherty, J. P. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.019 · Cited by 91
Computational neuroscience approaches to social cognition
Hackel, L. M., & Amodio, D. M. (2018) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2018.09.001 · Cited by 91
Mind matters: placebo enhances reward learning in Parkinson's disease
Schmidt, L., Braun, E. K., Wager, T. D., & Shohamy, D. (2014) · Nature Neuroscience · doi:10.1038/nn.3842 · Cited by 84
Kühn, S., Müller, B. C. N., van Baaren, R. B., Wietzker, A., Dijksterhuis, A., & Braß, M. (2010) · Social Neuroscience · doi:10.1080/17470911003633750 · Cited by 88
Meder, D., Kolling, N., Verhagen, L., Wittmann, M. K., Scholl, J., Madsen, K. H., Hulme, O. J., Behrens, T. E. J., & Rushworth, M. F. S. (2017) · Nature Communications · doi:10.1038/s41467-017-02169-w · Cited by 86
Self-citationThe application of computational models to social neuroscience: promises and pitfalls
Charpentier, C. J., & O’Doherty, J. P. (2018) · Social Neuroscience · doi:10.1080/17470919.2018.1518834 · Cited by 87
Social agent identity cells in the prefrontal cortex of interacting groups of primates
Báez-Mendoza, R., Mastrobattista, E. P., Wang, A. J., & Williams, Z. M. (2021) · Science · doi:10.1126/science.abb4149 · Cited by 83
Strategic control in decision‐making under uncertainty
Venkatraman, V., & Huettel, S. A. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2012.08009.x · Cited by 93
Diuk, C., Tsai, K., Wallis, J. D., Botvinick, M., & Niv, Y. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.5445-12.2013 · Cited by 79
Piva, M., Velnoskey, K. R., Jia, R., Nair, A. R., Levy, I., & Chang, S. W. C. (2019) · eLife · doi:10.7554/elife.44939 · Cited by 81
Braunsdorf, M., Freches, G. B., Roumazeilles, L., Eichert, N., Schurz, M., Uithol, S., Bryant, K., & Mars, R. B. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.08.032 · Cited by 80
Wiech, K., Kahane, G., Shackel, N. A., Farias, M., Savulescu, J., & Tracey, I. (2012) · Cognition · doi:10.1016/j.cognition.2012.11.002 · Cited by 85
When Giving Is Good: Ventromedial Prefrontal Cortex Activation for Others' Intentions
Cooper, J. C., Kreps, T. A., Wiebe, T., Pirkl, T., & Knutson, B. D. (2010) · Neuron · doi:10.1016/j.neuron.2010.06.030 · Cited by 81
Xiang, T., Ray, D., Lohrenz, T. M., Dayan, P., & Montague, P. R. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002841 · Cited by 78
Moral learning: Psychological and philosophical perspectives
Cushman, F. A., Kumar, V., & Railton, P. (2017) · Cognition · doi:10.1016/j.cognition.2017.06.008 · Cited by 79
Neural computations underpinning the strategic management of influence in advice giving
Hertz, U., Palminteri, S., Brunetti, S., Olesen, C., Frith, C. D., & Bahrami, B. (2017) · Nature Communications · doi:10.1038/s41467-017-02314-5 · Cited by 77
Assessment of social transmission of threats in humans using observational fear conditioning
Haaker, J., Golkar, A., Selbing, I., & Olsson, A. (2017) · Nature Protocols · doi:10.1038/nprot.2017.027 · Cited by 80
Zhao, Q., Zhao, W., Lu, C., Du, H., & Chi, P. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105565 · Cited by 77
Wu, H., Sun, H. J., Xu, J., Wu, Y., Wang, C., Xiao, J., She, S., Huang, J., Zou, W., Peng, H., et al. (2016) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2016.00120 · Cited by 79
Małecka, A., Mitręga, M., Mróz-Gorgoń, B., & Pfajfar, G. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.01.062 · Cited by 83
Apps, M. A. J., Tajadura‐Jiménez, A., Sereno, M. I., Blanke, O., & Manos Tsakiris, A. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht199 · Cited by 79
Dissociable reward and timing signals in human midbrain and ventral striatum
Klein-Flügge, M. C., Hunt, L. T., Bach, D. R., Dolan, R. J., & Behrens, T. E. J. (2011) · Neuron · doi:10.1016/j.neuron.2011.08.024 · Cited by 75
Self-citationAdolescent depression and brain development: evidence from voxel-based morphometry
Straub, J., Brown, R. C., Malejko, K., Bonenberger, M., Grön, G., Plener, P. L., & Abler, B. (2019) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.170233 · Cited by 80
Henco, L., Diaconescu, A. O., Lahnakoski, J. M., Brandi, M., Hörmann, S., Hennings, J. M., Hasan, A., Papazova, I., Strube, W., Bolis, D., et al. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008162 · Cited by 82
The computational challenge of social learning
FeldmanHall, O., & Nassar, M. R. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.09.002 · Cited by 79
Dopamine Modulates Egalitarian Behavior in Humans
Sáez, I., Zhu, L., Set, E., Kayser, A. S., & Hsu, M. (2015) · Current Biology · doi:10.1016/j.cub.2015.01.071 · Cited by 78
Identity economics and the brain: uncovering the mechanisms of social conflict
Huettel, S. A., & Kranton, R. E. (2012) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2011.0264 · Cited by 76
Stoodley, C. J., & Tsai, P. T. (2021) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-100120-092143 · Cited by 75
Value judgments and self-control of action: The role of the medial frontal cortex
Seitz, R. J., Franz, M., & Azari, N. P. (2009) · Brain Research Reviews · doi:10.1016/j.brainresrev.2009.02.003 · Cited by 79
Interpreting developmental changes in neuroimaging signals
Poldrack, R. A. (2010) · Human Brain Mapping · doi:10.1002/hbm.21039 · Cited by 73
A systems approach to cultural evolution
Buskell, A., Enquist, M., & Jansson, F. (2019) · Humanities and Social Sciences Communications · doi:10.1057/s41599-019-0343-5 · Cited by 81
Lai, M., Lombardo, M. V., Chakrabarti, B., Ecker, C., Sadek, S. A., Wheelwright, S. J., Murphy, D., Suckling, J., Bullmore, E. T., & Baron‐Cohen, S. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.018 · Cited by 77
Building blocks of social cognition: Mirror, mentalize, share?
Alcalá-López, D., Vogeley, K. T., Binkofski, F., & Bzdok, D. (2018) · Cortex · doi:10.1016/j.cortex.2018.05.006 · Cited by 75
Integrating culture-as-situated-cognition and neuroscience prediction models
Oyserman, D., Novin, S., Flinkenflögel, N., & Krabbendam, L. (2014) · Culture and Brain · doi:10.1007/s40167-014-0016-6 · Cited by 72
Endogenous opioids regulate social threat learning in humans
Haaker, J., Yi, J., Petrović, P., & Olsson, A. (2017) · Nature Communications · doi:10.1038/ncomms15495 · Cited by 71
The role of decision confidence in advice-taking and trust formation.
Pescetelli, N., & Yeung, N. (2020) · Journal of Experimental Psychology General · doi:10.1037/xge0000960 · Cited by 79
Therapeutic Alliance as Active Inference: The Role of Therapeutic Touch and Synchrony
McParlin, Z., Cerritelli, F., Friston, K. J., & Esteves, J. E. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.783694 · Cited by 76
Learning relative values in the striatum induces violations of normative decision making
Klein, T. A., Ullsperger, M., & Jocham, G. (2017) · Nature Communications · doi:10.1038/ncomms16033 · Cited by 79
Dopamine-independent effect of rewards on choices through hidden-state inference
Blanco-Pozo, M., Akam, T., & Walton, M. E. (2024) · Nature Neuroscience · doi:10.1038/s41593-023-01542-x · Cited by 69
Bayesian model selection maps for group studies
Rosa, M. J., Bestmann, S., Harrison, L. M., & Penny, W. D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.08.051 · Cited by 70
Neural Mechanisms for Accepting and Rejecting Artificial Social Partners in the Uncanny Valley
Pütten, A. M. R.-V. D., Krämer, N. C., Maderwald, S., Brand, M., & Fabian Grabenhorst, B. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2956-18.2019 · Cited by 79
Vicarious Reinforcement Learning Signals When Instructing Others
Apps, M. A. J., Lesage, E., & Ramnani, N. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.3669-14.2015 · Cited by 71
The Psychology of Motivated versus Rational Impression Updating
Kim, M. J., Park, B., & Young, L. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.12.001 · Cited by 76
Conceptualizing anhedonias and implications for depression treatments
Winer, E. S., Jordan, D. G., & Collins, A. C. (2019) · Psychology Research and Behavior Management · doi:10.2147/prbm.s159260 · Cited by 73
Gueguen, M. C. M., Lopez‐Persem, A., Billeke, P. B., Lachaux, J.-P., Rheims, S., Kahane, P., Minotti, L., Olivier David, A., Pessiglione, M., & Bastin, J. (2021) · Nature Communications · doi:10.1038/s41467-021-23704-w · Cited by 73
The neural circuitry of affect-induced distortions of trust
Engelmann, J. B., Meyer, F., Ruff, C. C., & Fehr, E. (2019) · Science Advances · doi:10.1126/sciadv.aau3413 · Cited by 70
Neural computations underlying strategic social decision-making in groups
Park, S. A., Sestito, M., Boorman, E. D., & Dreher, J. (2019) · Nature Communications · doi:10.1038/s41467-019-12937-5 · Cited by 72
Zhang, M., Liu, T., Pelowski, M. J., & Yu, D. (2017) · Scientific Reports · doi:10.1038/s41598-017-06764-1 · Cited by 70
Theory of mind and decision science: Towards a typology of tasks and computational models
Rusch, T., Kumar, S., Doshi, P., Spezio, M., & Gläscher, J. P. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107488 · Cited by 74
Jiang, Y., & Platt, M. L. (2018) · Scientific Reports · doi:10.1038/s41598-018-25607-1 · Cited by 69
Watanabe, N., Sakagami, M., & Haruno, M. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.3400-12.2013 · Cited by 65
Précis of Cognitive Gadgets: The Cultural Evolution of Thinking
Heyes, C. M. (2018) · Behavioral and Brain Sciences · doi:10.1017/s0140525x18002145 · Cited by 70
What makes the dorsomedial frontal cortex active during reading the mental states of others?
Isoda, M., & Noritake, A. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00232 · Cited by 64
How we learn social norms: a three-stage model for social norm learning
Zhang, W., Liu, Y., Dong, Y., He, W., Yao, S., Xu, Z., & Mu, Y. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1153809 · Cited by 73
Hosokawa, T., & Watanabe, M. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.6479-11.2012 · Cited by 66
Motivation alters impression formation and related neural systems
Hughes, B., Zaki, J., & Ambady, N. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw147 · Cited by 63
Action perception and motor imagery: Mental practice of action
Savaki, H. E., & Raos, V. (2019) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2019.01.007 · Cited by 67
Fabian Grabenhorst, B., & Rolls, E. T. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00352.2010 · Cited by 62
Decision neuroscience: neuroeconomics
Smith, D. V., & Huettel, S. A. (2010) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.73 · Cited by 67
Anatomy and Connectivity of the Reward Circuit
Haber, S. N. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-805308-9.00001-4 · Cited by 67
Jumping to conclusions in schizophrenia
Evans, S., Averbeck, B. B., & Nicholas Furl, A. (2015) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s56870 · Cited by 68
Neural Mechanisms of Cognitive Dissonance (Revised): An EEG Study
Colosio, M., Шестакова, А. Н., Nikulin, V. V., Blagovechtchenski, E., & Klucharev, V. A. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3209-16.2017 · Cited by 67
Piray, P., Ly, V., Roelofs, K., Cools, R., & Toni, I. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1394-18.2018 · Cited by 61
Conserved features of anterior cingulate networks support observational learning across species
Burgos-Robles, A., Gothard, K. M., Monfils, M., Morozov, A., & Vicentic, A. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.09.009 · Cited by 64
Independent Neural Computation of Value from Other People's Confidence
Campbell-Meiklejohn, D. K., Simonsen, A., Frith, C., & Daw, N. D. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.4490-15.2016 · Cited by 62
Social conflicts elicit an N400-like component
Huang, Y., Kendrick, K. M., & Yu, R. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.10.032 · Cited by 59
Within- and cross-participant classifiers reveal different neural coding of information
Clithero, J. A., Smith, D. V., Carter, R., & Huettel, S. A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.057 · Cited by 65
Everything is connected: Inference and attractors in delusions
Adams, R. A., Vincent, P., Benrimoh, D. A., Friston, K. J., & Parr, T. (2021) · Schizophrenia Research · doi:10.1016/j.schres.2021.07.032 · Cited by 60
Advice Taking from Humans and Machines: An fMRI and Effective Connectivity Study
Goodyear, K., Parasuraman, R., Chernyak, S. V., Madhavan, P., Deshpande, G., & Krüeger, F. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00542 · Cited by 60
Modeling Morality in 3‐D: Decision‐Making, Judgment, and Inference
Yu, H., Siegel, J. Z., & Crockett, M. J. (2018) · Topics in Cognitive Science · doi:10.1111/tops.12382 · Cited by 65
Scholl, J., Kolling, N., Nelissen, N., Browning, M., Rushworth, M. F. S., & Harmer, C. J. (2017) · PLOS Biology · doi:10.1371/journal.pbio.2000756 · Cited by 58
Self-citationDissecting functional contributions of the social brain to strategic behavior
Konovalov, A., Hill, C., Jean Daunizeau, A., & Ruff, C. C. (2021) · Neuron · doi:10.1016/j.neuron.2021.07.025 · Cited by 61
Striatal BOLD response reflects the impact of herd information on financial decisions
Burke (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00048 · Cited by 60
The representation of oral fat texture in the human somatosensory cortex
Fabian Grabenhorst, B., & Rolls, E. T. (2013) · Human Brain Mapping · doi:10.1002/hbm.22346 · Cited by 57
de Boer, L., Axelsson, J., Riklund, K., Nyberg, L. H., Dayan, P., Bäckman, L., & Guitart‐Masip, M. (2017) · eLife · doi:10.7554/elife.26424 · Cited by 61
A Review of Neurocognitive Mechanisms of Social Conformity
Schnuerch, R., & Gibbons, H. (2014) · Social Psychology · doi:10.1027/1864-9335/a000213 · Cited by 63
Abnormal social reward responses in anorexia nervosa: an fMRI study
Via, E., Soriano-Mas, C., Sánchez, I., Forcano, L., Harrison, B. J., Davey, C. G., Pujol, J., Martínez-Zalacaín, I., Menchón, J. M., Fernández-Aranda, F., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0133539 · Cited by 56
Unifying treatments for depression: an application of the free energy principle
Chekroud, A. M. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00153 · Cited by 55
Trusting Humans and Avatars: Behavioral and Neural Evidence
Riedl, R., Mohr, P. N. C., Kenning, P. H., Davis, F. D., & Heekeren, H. R. (2011) · Journal of the Association for Information Systems · Cited by 55
Neural Segregation of Objective and Contextual Aspects of Fairness
Wright, N. D., Symmonds, M., Fleming, S. M., & Dolan, R. J. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.3138-10.2011 · Cited by 57
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
