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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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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 301–400 of 910
The neural underpinnings of an optimal exploitation of social information under uncertainty
Toelch, U., Bach, D. R., & Dolan, R. J. (2013) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst173 · Cited by 58
Neural representations of honesty predict future trust behavior
Bellucci, G., Molter, F., & Park, S. Q. (2019) · Nature Communications · doi:10.1038/s41467-019-13261-8 · Cited by 57
Effects of Oxytocin and Vasopressin on Preferential Brain Responses to Negative Social Feedback
Gozzi, M., Dashow, E. M., Thurm, A. E., Swedo, S. E., & Zink, C. F. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2016.248 · Cited by 54
Météreau, É., & Dreher, J. (2014) · Cortex · doi:10.1016/j.cortex.2014.08.012 · Cited by 60
Goucher-Lambert, K., Moss, J., & Cagan, J. (2017) · Journal of Mechanical Design · doi:10.1115/1.4035859 · Cited by 56
Social deviance activates the brain’s error-monitoring system
Kim, B.-R., Liss, A., Rao, M., Singer, Z., & Compton, R. J. (2011) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-011-0067-5 · Cited by 57
Chang, L. J. (2009) · Frontiers in Behavioral Neuroscience · doi:10.3389/neuro.08.036.2009 · Cited by 57
Oxytocin Facilitates Social Learning by Promoting Conformity to Trusted Individuals
Xu, L., Becker, B., & Kendrick, K. M. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00056 · Cited by 55
Differential neurobiological effects of expert advice on risky choice in adolescents and adults
Engelmann, J. B., Moore, S., Monica Capra, C., & Berns, G. S. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss050 · Cited by 52
Woolrich, M. W. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.047 · Cited by 54
Self-citationInsights from the application of computational neuroimaging to social neuroscience
Dunne, S., & O’Doherty, J. P. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.02.007 · Cited by 56
Stallen, M., & Sanfey, A. G. (2013) · The Neuroscientist · doi:10.1177/1073858412469728 · Cited by 57
Neural correlates of informational cascades: brain mechanisms of social influence on belief updating
Huber, R. E., Klucharev, V. A., & Rieskamp, J. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu090 · Cited by 51
Over a Decade of Neuroeconomics: What Have We Learned?
Konovalov, A., & Krajbich, I. M. (2016) · Organizational Research Methods · doi:10.1177/1094428116644502 · Cited by 55
Social Cognition as Reinforcement Learning: Feedback Modulates Emotion Inference
Zaki, J., Kallman, S., Wimmer, G. E., Ochsner, K. N., & Shohamy, D. (2016) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00978 · Cited by 54
The Integration of Functional Brain Activity from Adolescence to Adulthood
Kundu, P., Benson, B. E., Rosen, D. K., Frangou, S., Leibenluft, E., Luh, W., Bandettini, P. A., Pine, D. S., & Ernst, M. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1864-17.2018 · Cited by 53
Reinforcement learning in social interaction: The distinguishing role of trait inference
Hackel, L. M., Mende‐Siedlecki, P., & Amodio, D. M. (2020) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2019.103948 · Cited by 53
Combining fMRI and behavioral measures to examine the process of human learning
Karuza, E. A., Emberson, L. L., & Aslin, R. N. (2014) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2013.09.012 · Cited by 50
Changing the incentive structure of social media platforms to halt the spread of misinformation
Globig, L. K., Holtz, N., & Sharot, T. (2023) · eLife · doi:10.7554/elife.85767 · Cited by 56
fMRI Evidence of ‘Mirror’ Responses to Geometric Shapes
Press, C., Catmur, C., Cook, R., Widmann, H., Heyes, C. M., & Bird, G. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051934 · Cited by 51
Neural Mechanisms of Updating under Reducible and Irreducible Uncertainty
Kobayashi, K., & Hsu, M. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.0535-17.2017 · Cited by 52
Park, B.-K., Fareri, D. S., Delgado, M. R., & Young, L. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa072 · Cited by 50
Jocham, G., Furlong, P. M., Kröger, I. L., Kahn, M. C., Hunt, L. T., & Behrens, T. E. J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.005 · Cited by 52
Self-citationLearning from Others: Introduction to the Special Review Series on Social Neuroscience
Frith, C., & Frith, U. (2010) · Neuron · doi:10.1016/j.neuron.2010.03.015 · Cited by 51
Mapping Mentalising in the Brain
Frith, C., & Frith, U. (2021) · Springer eBooks · doi:10.1007/978-3-030-51890-5_2 · Cited by 54
The doxastic shear pin: Delusions as errors of learning and memory
Fineberg, S. K., & Corlett, P. R. (2016) · Cognitive Neuropsychiatry · doi:10.1080/13546805.2015.1136206 · Cited by 48
Batten, S. R., Bang, D., Kopell, B. H., Davis, A. N., Heflin, M., Fu, Q. X., Perl, O., Ziafat, K., Hashemi, A., Sáez, I., et al. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01831-w · Cited by 53
The tendency to trust is reflected in human brain structure
Haas, B. W., Ishak, A., Anderson, I. W., & Filkowski, M. M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.060 · Cited by 50
Fineberg, S. K., Leavitt, J., Stahl, D. S., Kronemer, S. I., Landry, C. D., Alexander‐Bloch, A. F., Hunt, L. T., & Corlett, P. R. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.05.020 · Cited by 51
Self-citationCatecholaminergic modulation of meta-learning
Cook, J. L., Swart, J. C., Froböse, M. I., Diaconescu, A. O., Geurts, D. E. M., den Ouden, H. E. M., & Cools, R. (2019) · eLife · doi:10.7554/elife.51439 · Cited by 54
Reinforcement learning signals in the anterior cingulate cortex code for others’ false beliefs
Apps, M. A. J., Green, R., & Ramnani, N. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.010 · Cited by 50
Model-based analyses: Promises, pitfalls, and example applications to the study of cognitive control
Mars, R. B., Shea, N. J., Kolling, N., & Rushworth, M. F. S. (2010) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470211003668272 · Cited by 51
Self-citationComputational substrates of social norm enforcement by unaffected third parties
Zhong, S., Chark, R., Hsu, M., & Chew, S. H. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.01.040 · Cited by 47
Altruistic traits are predicted by neural responses to monetary outcomes for selfvscharity
Martín, R. S., Kwak, Y., Pearson, J. M., Woldorff, M. G., & Huettel, S. A. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw026 · Cited by 50
The valuation of social rewards in schizophrenia.
Catalano, L. T., Heerey, E. A., & Gold, J. M. (2018) · Journal of Abnormal Psychology · doi:10.1037/abn0000366 · Cited by 47
The human cingulum: From the limbic tract to the connectionist paradigm
Maldonado, I. L., de Matos, V. P., Cuesta, T. A. C., Herbet, G., & Destrieux, C. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107487 · Cited by 51
Effects of acupuncture on the brain hemodynamics
Hori, E., Takamoto, K., Urakawa, S., Ono, T., & Nishijo, H. (2010) · Autonomic Neuroscience · doi:10.1016/j.autneu.2010.06.007 · Cited by 49
Social learning across adolescence: A Bayesian neurocognitive perspective
Hofmans, L., & van den Bos, W. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101151 · Cited by 52
Cooper, J. C., Dunne, S., Furey, T., & O'Doherty, J. P. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.2558-12.2012 · Cited by 45
A biomimetic afferent nervous system based on the flexible artificial synapse
Wang, K., Jia, Y., & Yan, X. (2022) · Nano Energy · doi:10.1016/j.nanoen.2022.107486 · Cited by 46
Cook, J. L., den Ouden, H. E. M., Heyes, C. M., & Cools, R. (2014) · Current Biology · doi:10.1016/j.cub.2014.10.014 · Cited by 51
Age differences in default and reward networks during processing of personally relevant information
Grady, C. L., Grigg, O., & Ng, C. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.03.024 · Cited by 48
Prefrontal contributions to the stability and variability of thought and conscious experience
Zamani, A., Carhart-Harris, R. L., & Kalina Christoff, A. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-01147-7 · Cited by 49
Comparative connectomics of the primate social brain
Yokoyama, C., Autio, J. A., Ikeda, T., Sallet, J., Mars, R. B., Essen, D. C. V., Glasser, M. F., Sadato, N., & Hayashi, T. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118693 · Cited by 44
Where We Mentalize: Main Cortical Areas Involved in Mentalization
Monticelli, M., Zeppa, P., Mammi, M., Penner, F., Melcarne, A., Zenga, F., & Garbossa, D. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.712532 · Cited by 49
Neural basis of learning and preference during social decision-making
Seo, H., & Lee, D. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.05.010 · Cited by 45
Shaw, D. J., Czekóová, K., Staněk, R., Mareček, R., Urbánek, T., Špalek, J., Kopečková, L., Řezáč, J., & Brázdil, M. (2018) · Scientific Reports · doi:10.1038/s41598-018-29233-9 · Cited by 47
Breaking human social decision making into multiple components and then putting them together again
Suzuki, S., & O’Doherty, J. P. (2020) · Cortex · doi:10.1016/j.cortex.2020.02.014 · Cited by 48
Apathy blunts neural response to money in Parkinson's disease
Lawrence, A. D., Goerendt, I. K., & Brooks, D. J. (2011) · Social Neuroscience · doi:10.1080/17470919.2011.556821 · Cited by 47
Neural dissociations between meaningful and mere inconsistency in impression updating
Mende‐Siedlecki, P., & Todorov, A. T. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw058 · Cited by 44
Let's chat: developmental neural bases of social motivation during real‐time peer interaction
Warnell, K. R., Sadikova, E., & Redcay, E. (2017) · Developmental Science · doi:10.1111/desc.12581 · Cited by 45
Ninomiya, T., Noritake, A., Ullsperger, M., & Isoda, M. (2018) · Neuroscience Research · doi:10.1016/j.neures.2018.04.004 · Cited by 45
Altered neural encoding of prediction errors in assault-related posttraumatic stress disorder
Ross, M. C., Lenow, J. K., Kilts, C. D., & Cisler, J. M. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.05.008 · Cited by 44
Hierarchical Bayesian models of social inference for probing persecutory delusional ideation.
Diaconescu, A. O., Wellstein, K. V., Kasper, L., Mathys, C. D., & Stephan, K. E. (2020) · Journal of Abnormal Psychology · doi:10.1037/abn0000500 · Cited by 42
Social closeness and feedback modulate susceptibility to the framing effect
Sip, K. E., Smith, D. V., Porcelli, A. J., Kar, K., & Delgado, M. R. (2014) · Social Neuroscience · doi:10.1080/17470919.2014.944316 · Cited by 44
I want to help you, but I am not sure why: Gaze-cuing induces altruistic giving.
Rogers, R. D., Bayliss, A. P., Szepietowska, A., Dale, L., Reeder, L., Pizzamiglio, G., Czarna, K., Wakeley, J., Cowen, P. J., & Tipper, S. P. (2013) · Journal of Experimental Psychology General · doi:10.1037/a0033677 · Cited by 42
Cisler, J. M., Bush, K., Steele, J., Lenow, J. K., Smitherman, S., & Kilts, C. D. (2015) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2015.02.014 · Cited by 47
Klein-Flügge, M. C., Wittmann, M. K., Shpektor, A., Jensen, D. E. A., & Rushworth, M. F. S. (2019) · Nature Communications · doi:10.1038/s41467-019-12557-z · Cited by 44
Self-citationSocial prediction modulates activity of macaque superior temporal cortex
Roumazeilles, L., Schurz, M., Lojkiewiez, M., Verhagen, L., Schüffelgen, U., Marche, K., Mahmoodi, A., Emberton, A., Simpson, K., Joly, O., et al. (2021) · Science Advances · doi:10.1126/sciadv.abh2392 · Cited by 41
Self-citationHumans use forward thinking to exploit social controllability
Na, S., Chung, D., Hula, A., Perl, O., Jung, J., Heflin, M., Blackmore, S., Fiore, V. G., Dayan, P., & Gu, X. (2021) · eLife · doi:10.7554/elife.64983 · Cited by 41
Distinct neurocomputational mechanisms support informational and socially normative conformity
Mahmoodi, A., Nili, H., Bang, D., Mehring, C., & Bahrami, B. (2022) · PLoS Biology · doi:10.1371/journal.pbio.3001565 · Cited by 44
Anterior Temporal Lobe Tracks the Formation of Prejudice
Spiers, H. J., Love, B. C., Pelley, M. E. L., Gibb, C. E., & Murphy, R. A. (2016) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01056 · Cited by 41
Prior preferences beneficially influence social and non-social learning
Tarantola, T., Kumaran, D., Dayan, P., & Martino, B. D. (2017) · Nature Communications · doi:10.1038/s41467-017-00826-8 · Cited by 40
Unrealistic optimism in advice taking: A computational account.
Leong, Y. C., & Zaki, J. (2017) · Journal of Experimental Psychology General · doi:10.1037/xge0000382 · Cited by 42
Deconstructing Theory-of-Mind Impairment in High-Functioning Adults with Autism
Rosenthal, I. A., Hutcherson, C. A. C., Adolphs, R., & Stanley, D. A. (2019) · Current Biology · doi:10.1016/j.cub.2018.12.039 · Cited by 44
Models of persecutory delusions: a mechanistic insight into the early stages of psychosis
Diaconescu, A. O., Hauke, D. J., & Borgwardt, S. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0427-z · Cited by 44
Fairley, K., Sanfey, A. G., Vyrastekova, J., & Weitzel, U. (2016) · Journal of Economic Psychology · doi:10.1016/j.joep.2016.10.001 · Cited by 40
Imaging Models of Valuation During Social Interaction in Humans
Kishida, K. T., & Montague, P. R. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.02.037 · Cited by 41
Cooper, J. C., Dunne, S., Furey, T., & O'Doherty, J. P. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht102 · Cited by 39
Neurocomputational mechanisms of confidence in self and others
Bang, D., Moran, R., Daw, N. D., & Fleming, S. M. (2022) · Nature Communications · doi:10.1038/s41467-022-31674-w · Cited by 39
The anterior cingulate cortex: Monitoring the outcomes of others' decisions
Apps, M. A. J., Balsters, J. H., & Ramnani, N. (2011) · Social Neuroscience · doi:10.1080/17470919.2011.638799 · Cited by 41
A neural signature of the creation of social evaluation
Osinsky, R., Mussel, P., Öhrlein, L., & Hewig, J. S. (2013) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst051 · Cited by 41
The Neural Substrates of Social Influence on Decision Making
Tomlin, D., Nedić, A., Prentice, D. A., Holmes, P. J., & Cohen, J. D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0052630 · Cited by 42
Developmental Changes in Learning: Computational Mechanisms and Social Influences
Bolenz, F., Reiter, A. M. F., & Eppinger, B. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.02048 · Cited by 42
Norms and the Flexibility of Moral Action
FeldmanHall, O., Son, J.-Y., & Heffner, J. (2018) · Personality Neuroscience · doi:10.1017/pen.2018.13 · Cited by 39
Do psychedelics change beliefs?
McGovern, H. T., Leptourgos, P., Hutchinson, B. T., & Corlett, P. R. (2022) · Psychopharmacology · doi:10.1007/s00213-022-06153-1 · Cited by 40
Does the medial orbitofrontal cortex have a role in social valuation?
Noonan, M. P., Sallet, J., Rudebeck, P. H., Buckley, M. J., & Rushworth, M. F. S. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07271.x · Cited by 39
Self-citationHedging Your Bets by Learning Reward Correlations in the Human Brain
Wunderlich, K., Symmonds, M., Bossaerts, P. L., & Dolan, R. J. (2011) · Neuron · doi:10.1016/j.neuron.2011.07.025 · Cited by 41
The Caudate Signals Bad Reputation during Trust Decisions
Wardle, M. C., Fitzgerald, D. A., Angstadt, M., Sripada, C., McCabe, K., & Phan, K. L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068884 · Cited by 37
Murphy, E. R., Foss‐Feig, J. H., Kenworthy, L. E., Gaillard, W. D., & Vaidya, C. J. (2012) · Autism Research and Treatment · doi:10.1155/2012/652408 · Cited by 43
Getting to know you: general and specific neural computations for learning about people
Stanley, D. A. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv145 · Cited by 37
Learning from social rewards predicts individual differences in self-reported social ability.
Heerey, E. A. (2013) · Journal of Experimental Psychology General · doi:10.1037/a0031511 · Cited by 37
Persistent Reliance on Facial Appearance Among Older Adults When Judging Someone’s Trustworthiness
Suzuki, A. (2016) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbw034 · Cited by 37
The Self-Liking Brain: A VBM Study on the Structural Substrate of Self-Esteem
Agroskin, D., Klackl, J., & Jonas, E. (2014) · PLoS ONE · doi:10.1371/journal.pone.0086430 · Cited by 42
Isoda, M. (2021) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-101420-011820 · Cited by 38
More of me! Distinguishing self and reward bias using redundancy gains
Sui, J., & Humphreys, G. W. (2015) · Attention Perception & Psychophysics · doi:10.3758/s13414-015-0970-x · Cited by 39
Contributions of the Medial Prefrontal Cortex to Social Influence in Economic Decision-Making
Apps, M. A. J., & Ramnani, N. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx183 · Cited by 37
A translational perspective on the anti-anhedonic effect of ketamine and its neural underpinnings
Pulcu, E., Guinea, C., Cowen, P. J., Murphy, S. E., & Harmer, C. J. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01183-1 · Cited by 35
Pisauro, M. A., Fouragnan, E. F., Arabadzhiyska, D. H., Apps, M. A. J., & Philiastides, M. G. (2022) · Nature Communications · doi:10.1038/s41467-022-34509-w · Cited by 38
Kindler, J., Weickert, C. S., Skilleter, A. J., Catts, S. V., Lenroot, R., & Weickert, T. W. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.88 · Cited by 35
Dissociable contribution of prefrontal and striatal dopaminergic genes to learning in economic games
Set, E., Sáez, I., Zhu, L., Houser, D. E., Myung, N., Zhong, S., Ebstein, R. P., Chew, S. H., & Hsu, M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1316259111 · Cited by 36
Shared yet dissociable neural codes across eye gaze, valence and expectation
Pryluk, R., Shohat, Y., Morozov, A., Friedman, D., Taub, A. H., & Paz, R. (2020) · Nature · doi:10.1038/s41586-020-2740-8 · Cited by 36
Valence processing in the PFC: Reconciling circuit-level and systems-level views
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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
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