Cited by 191Neural and Behavioral Psychology StudiesNeurotransmitter Receptor Influence on BehaviorNeuroendocrine regulation and behavior

Behavioral and Neural Properties of Social Reinforcement Learning

Open access
Jones, Rebecca M., Somerville, Leah H., Li, Jian, Ruberry, Erika J., Libby, Victoria, Glover, Gary, Voss, Henning U., Ballon, Douglas J. +1 more·2011·The Journal of Neuroscience

Abstract

Social learning is critical for engaging in complex interactions with other individuals. Learning from positive social exchanges, such as acceptance from peers, may be similar to basic reinforcement learning. We formally test this hypothesis by developing a novel paradigm that is based on work in nonhuman primates and human imaging studies of reinforcement learning. The probability of receiving positive social reinforcement from three distinct peers was parametrically manipulated while brain activity was recorded in healthy adults using event-related functional magnetic resonance imaging. Over the course of the experiment, participants responded more quickly to faces of peers who provided more frequent positive social reinforcement, and rated them as more likeable. Modeling trial-by-trial learning showed ventral striatum and orbital frontal cortex activity correlated positively with forming expectations about receiving social reinforcement. Rostral anterior cingulate cortex activity tracked positively with modulations of expected value of the cues (peers). Together, the findings across three levels of analysis—social preferences, response latencies, and modeling neural responses—are consistent with reinforcement learning theory and nonhuman primate electrophysiological studies of reward. This work highlights the fundamental influence of acceptance by one's peers in altering subsequent behavior.

AI snapshot

Written from the paper’s full text.

TL;DR

In a novel social reinforcement task, healthy adults learned to prefer and respond faster to peers who provided more frequent positive social feedback, without explicit awareness. fMRI and Rescorla-Wagner modeling linked these behavioral changes to ventral striatum/OFC prediction-error signals and rostral anterior cingulate expected-value signals.

Key findings

  • Likeability ratings showed a significant reinforcement-probability × time interaction (F(2,78) = 5.48, p < 0.01); post-task ratings decreased linearly with lower interaction probability (linear F(1,39) = 7.17, p < 0.02), and Frequent and Continuous peers were rated more likeable than the Rare peer (t(39) = −2.26, p < 0.03; t(39) = −2.68, p < 0.02), with no difference between Frequent and Continuous (p > 0.49). Attractiveness was not significantly modulated (p’s > 0.09).
  • Reaction times showed a probability × time interaction (F(2,84) = 3.98, p < 0.03): late-trial responses were faster for Frequent than Rare (t(42) = 2.49, p < 0.02), with a trend for Continuous vs Rare (t(42) = 2.01, p < 0.06). After contingency reversal, the Rare-to-Continuous switch produced significant speeding (interaction F(1,42) = 10.15, p < 0.01; post-hoc t(42) = 3.13, p < 0.01).
  • Participants were faster after trials with no positive reinforcement (mean z-score RT = −0.01, SD = 0.13) than after positive reinforcement (mean z-score RT = 0.07, SD = 0.1; t(42) = 2.86, p < 0.01). Accuracy was 95.63% (SD = 3.54%) and did not vary by condition (p’s > 0.29).
  • Prediction-error signals correlated with rostral anterior cingulate cortex, ventral striatum, anterior insula, and OFC; expected cue value correlated with rostral anterior cingulate cortex, with no other regions surviving whole-brain correction. The average behavioral learning rate was α = 0.15 (p < 0.001 vs 0); the imaging model used α = 0.07 (r = 0.19, p < 0.001). Most participants (93%) could not articulate the reinforcement patterns.

Methods

  • Forty-six adults (22 females; aged 18–28) participated; 36 completed fMRI (19 females, all right-handed), and 3 fMRI participants were excluded for <80% accuracy or non-compliance. Behavioral analyses report 43 participants.
  • Participants chose three gender- and ethnicity-matched peers and were led to believe they received real notes. Peers were assigned distinct probabilities of positive social reinforcement: Rare = 33%, Frequent = 66%, Continuous = 100%. The task had 108 trials (36 per condition) across six runs, plus an 18-trial reversal run reversing Rare and Continuous.
  • fMRI data were acquired at 3T with a spiral in/out sequence (TR = 2000 ms, TE = 30 ms), preprocessed in AFNI, and analyzed with a GLM including Rescorla-Wagner prediction-error and expected-value parametric regressors. Whole-brain thresholding used p < 0.005/50 voxels corresponding to corrected p < 0.05; OFC was tested with a small-volume-corrected p < 0.05 mask.

Limitations

  • The paper states that “no positive social reinforcement” trials might have been experienced as mildly rejecting, but it did not adopt that interpretation because it lacks conclusive data on this possibility.
  • The paper notes that it “did not assess strategic behavior directly,” so the faster responses after non-reinforcement cannot be fully interpreted strategically.
  • Evident from the text: the sample was healthy young adults aged 18–28, so developmental questions about adolescents are raised but not tested; imaging coverage also excluded the posterior portion of the occipital lobe.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1523/jneurosci.2972-11.2011

Cites

Statistics

15 tests recomputed · 0 with the reported and recomputed p on opposite sides of .05

Claims the paper makes

0 of 21 cited sources checked · 0 supported · 0 flagged

  • Findingown data

    Pre-task likeability ratings were equivalent for all three peers.

    “Whereas pre-task likeability ratings were equivalent for all three peers (p’s > 0.48)”
    Quote in the paperSubstantial claim
  • Findingown data

    After the task, the Frequent and Continuous peers were rated as more likeable than the rarely reinforcing peer.

    “after the task the Frequent (t(39) = −2.26, p < 0.03) and Continuous (t(39) = −2.68, p < 0.02) peers were rated as more likeable than the rarely reinforcing peer”
    Quote in the paperSubstantial claim
  • Findingown data

    Participants responded more quickly to faces of peers who provided more frequent positive social reinforcement.

    “participants responded more quickly to faces of peers who provided more frequent positive social reinforcement”
    Quote in the paperSubstantial claim
  • Findingown data

    Rostral anterior cingulate cortex activity tracked positively with modulations of expected value of the cues (peers).

    “Rostral anterior cingulate cortex activity tracked positively with modulations of expected value of the cues (peers).”
    Quote in the paperSubstantial claim
  • Findingown data

    There was not a significant difference in likeability ratings after the task between the Frequent and Continuous peers.

    “though there was not a significant difference in likeability ratings after the task between the Frequent and Continuous peers (t(39) = −0.69, p > 0.49).”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. 12
  • May combine two claims. 9
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Participants responded correctly to 95.63% of trials (SD = 3.54%).

    “Participants responded correctly to 95.63 % of trials, (SD = 3.54 %).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingown data

    Three of the 43 participants correctly ranked the three peers and were considered explicitly aware of the social reinforcement contingencies.

    “Three of the 43 participants correctly ranked the three peers in this way and were thus considered explicitly aware of the social reinforcement contingencies.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The average learning rate (α) across participants was 0.15, suggesting learning effects on reaction time measures.

    “We tested the rate of learning for each subject based on his or her individual reaction time history, which yielded an average learning rate (α) of 0.15 across participants, suggesting learning effects on reaction time measures (one-sample t-test of learning rate versus null hypothesis of 0: p < 0.001).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Ratings of likeability changed from the beginning to the end of the experiment, with less reinforcing peers becoming less likeable, and more reinforcing peers yielding higher ratings of likeability by the end of the task.

    “Ratings of likeability changed from the beginning to the end of the experiment, with less reinforcing peers becoming less likeable, and more reinforcing peers yielding higher ratings of likeability by the end of the task.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingreasoning

    Accuracy was at ceiling and there were no statistical differences in accuracy for the three peers.

    “As expected due to the simplicity of the task, accuracy was at ceiling and there were no statistical differences in accuracy for the three peers.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    There were no main effects of reinforcement probability or time in the reversal analysis.

    “There were no main effects of reinforcement probability (F(1,42) = 2.77, p = 0.1) or time (F(1,42) = 1.35, p > 0.25).”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    The probability of reinforcement associated with each face stimulus was counterbalanced across participants to equate for low-level stimulus features across conditions.

    “The probability of reinforcement associated with each of the face stimuli was counterbalanced across participants to equate for low-level stimulus features across conditions.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    Reaction time is a reliable indicator of learning contingencies, and speeding or slowing in reaction times has been associated with conditioning as predicted by reinforcement learning models.

    “Reaction time has been shown in previous studies to be a reliable indicator of learning contingencies and speeding or slowing in reaction times has been associated with conditioning as predicted by reinforcement learning models (Seymour et al., 2004; Bray and O’Doherty, 2007).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Seymour et al., 2004

      Not checked in the free run.

    • cites Bray and O’Doherty, 2007

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Premisecitation

    Not receiving reinforcement on a given trial modulates behavioral responses on the next trial.

    “Prior research has demonstrated that not receiving reinforcement on a given trial modulates behavioral responses on the next trial (Liu et al., 2007).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Liu et al., 2007

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    Group analyses conducted within the orbital frontal cortex mask applied p < 0.05 small volume corrected statistical thresholding.

    “Group analyses conducted within this mask applied p < 0.05 small volume corrected (svc) statistical thresholding.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Premisecitation

    Reinforcement learning from primary and secondary reinforcers engages specific neural circuitry.

    “Reinforcement learning from primary (e.g. food) and secondary reinforcers (e.g. money) has been shown to engage specific neural circuitry.”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Schultz et al., 1997

      Not checked in the free run.

    • cites Fiorillo et al., 2003

      Not checked in the free run.

    • cites McClure et al., 2003

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Premisecitation

    The ventral striatum and orbital frontal cortex are implicated in prediction error signaling.

    “Non-human primate and human imaging studies have implicated the ventral striatum and orbital frontal cortex (OFC) in prediction error signaling (Schultz et al., 1997; Berns et al., 2001; Fiorillo et al., 2003; McClure et al., 2003).”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Schultz et al., 1997

      Not checked in the free run.

    • cites Berns et al., 2001 source

      Not checked in the free run.

    • cites Fiorillo et al., 2003

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Premisecitation

    Positive social exchanges are fundamentally rewarding for humans.

    “Psychologists have proposed that positive social exchanges are fundamentally rewarding for humans (Bandura and Walters, 1963; Baumeister and Leary, 1995; Steinberg, 2008), suggesting that learning from social interactions may draw upon basic reinforcement learning mechanisms.”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Bandura and Walters, 1963

      Not checked in the free run.

    • cites Baumeister and Leary, 1995

      Not checked in the free run.

    • cites Steinberg, 2008

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Images with movement greater than 2 mm along the x, y, or z planes were excluded from the analysis.

    “Images with movement greater than 2 mm along the x, y, or z planes were excluded from the analysis.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Study design and conductown data

    Whole-brain analyses were considered significant by exceeding a p-value/cluster size combination (p < 0.005/50 voxels) that corresponded to whole-brain p < 0.05, corrected for multiple comparisons.

    “Results of all whole-brain analyses were considered significant by exceeding a p-value/cluster size combination (p < 0.005/50 voxels) that corresponded to whole-brain p < 0.05, corrected for multiple comparisons as calculated with Monte Carlo simulations in AFNI.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    Participants learned the reinforcement contingencies and thus provide an objective index of social learning.

    “Taken together, the behavioral findings demonstrate that participants learned the reinforcement contingencies and thus provide an objective index of social learning.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    Social preferences and actions can be influenced after only brief encounters with peers and without conscious awareness.

    “These findings demonstrate that social preferences and actions can be influenced after only brief encounters with peers and without conscious awareness.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    Three individuals in the fMRI group were excluded due to less than 80% accuracy in any condition or non-compliance with the task.

    “Three individuals in the fMRI group were excluded due to less than 80% accuracy in any condition (n = 2, 1 male) or non-compliance with the task (n = 1, male).”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    Using a single set of signed model parameters from all participants has been suggested to be less susceptible to extreme parameter value estimation for individual participants and tends to be more stable.

    “This approach has been suggested to be less susceptible to extreme parameter value estimation for individual participants and tends to more stable (Daw et al., 2006; Bray and O’Doherty, 2007; Li et al., 2011).”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Daw et al., 2006

      Not checked in the free run.

    • cites Bray and O’Doherty, 2007

      Not checked in the free run.

    • cites Li et al., 2011

      Not checked in the free run.

19 of 19
  • The paper relies on this without support.

    Participants believed the cover story that the peers were real and that the notes were actual social feedback from those peers.

    “The first session introduced the cover story leading participants to believe they would receive actual social feedback during a task that would be completed on the second visit.”
  • The authors state this as an assumption.

    The ‘no positive social reinforcement’ trials were not experienced as rejection.

    “Although it is possible that participants experienced the ‘no positive social reinforcement’ trials as mildly rejecting, we have chosen not to adopt this interpretation because we do not have conclusive data speaking to this possibility.”
  • The authors state this as an assumption.

    The notes written by peers represented positive social reinforcement or acceptance.

    “During the experiment, participants would be shown how often each of the peers decided to write notes to them (termed ‘positive social reinforcement’)”
  • The paper relies on this without support.

    Repeated social exchanges shape our behavior toward others.

    “Repeated social exchanges shape our behavior toward others.”
  • The authors state this as an assumption.

    No prior studies have applied a classic reinforcement learning model to learning from social reinforcers.

    “No prior studies to our knowledge have applied a classic reinforcement learning model in the examination of learning from social reinforcers.”
5 of 5

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?

  • A friendly gesture elicits a larger increase in ventral striatum activity when it comes from someone who has rarely been friendly in the past compared to someone who is usually friendly.

    “That is, a friendly gesture elicits a larger increase in ventral striatum activity when it comes from someone who has rarely been friendly in the past compared to someone who is usually friendly.”
  • When we have a positive interaction with a new acquaintance, such as receiving a compliment or a friendly gesture, activity in ventral striatum increases.

    “When we have a positive interaction with a new acquaintance, such as receiving a compliment or a friendly gesture, activity in ventral striatum increases 2, 66.”
  • Ventral striatum responses to social experiences index the degree to which a social experience differs from what was expected.

    “For example, ventral striatum responses to social experiences (e.g., receiving a friendly gesture from a person) index the degree to which a social experience differs from what was expected 66.”
  • The pattern of striatal activity while learning from social information resembles the reward prediction error learning signal exhibited in the striatum while learning from monetary or food rewards.

    “This pattern of striatal activity while learning from social information resembles the reward prediction error learning signal exhibited in the striatum while learning from monetary or food rewards 38, 66, 67.”
  • Adults tend to rate accepting peers more favorably, respond to negative feedback by denigrating others, and engage in retaliatory impression updating, consistent with previous work.

    “The tendency for adults to rate accepting peers more favorably (36), respond to negative feedback by denigrating others (5, 9, 10), and engage in retaliatory impression updating (11) aligns with previous work.”

Statistics that don’t add up

Each reported p-value recomputed from its test statistic and degrees of freedom.

  • Inconsistent p-value: F(2,84) = 1.43, p > .25

    Minor

    The paper reports p > .25 here; recomputing from the test statistic and its degrees of freedom gives p = .245. The check cannot tell whether the statistic or the p-value is the misprint.

    Reported p > .25 · recomputed p = .245

1 of 1

Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • Doesn’t add upF(2, 84) = 1.43reported p > .25 · recomputed p = .245

    “F(2,84) = 1.43, p > .25”

  • ConsistentF(2, 78) = 5.48reported p < .01 · recomputed p = .006

    “F(2,78) = 5.48, p < .01”

  • ConsistentF(1, 39) = 7.17reported p < .02 · recomputed p = .011

    “F(1,39) = 7.17, p < .02”

  • Consistentt(39) = -2.26reported p < .03 · recomputed p = .029

    “t(39) = −2.26, p < .03”

  • Consistentt(39) = -2.68reported p < .02 · recomputed p = .011

    “t(39) = −2.68, p < .02”

  • Consistentt(39) = -0.69reported p > .49 · recomputed p = .494

    “t(39) = −0.69, p > .49”

  • Consistentt(42) = 2.49reported p < .02 · recomputed p = .017

    “t(42) = 2.49, p < .02”

  • Consistentt(42) = 2.01reported p < .06 · recomputed p = .051

    “t(42) = 2.01, p < .06”

  • ConsistentF(1, 42) = 15.21reported p < .01 · recomputed p < .001

    “F(1,42) = 15.21, p < .01”

  • ConsistentF(1, 42) = 10.15reported p < .01 · recomputed p = .003

    “F(1,42) = 10.15, p < .01”

  • Consistentt(42) = 3.13reported p < .01 · recomputed p = .003

    “t(42) = 3.13, p < .01”

  • ConsistentF(1, 42) = 2.77reported p = .1 · recomputed p = .103

    “F(1,42) = 2.77, p = .1”

  • ConsistentF(1, 42) = 1.35reported p > .25 · recomputed p = .252

    “F(1,42) = 1.35, p > .25”

  • Consistentt(42) = -1.48reported p > .15 · recomputed p = .146

    “t(42) = −1.48, p > .15”

    The paper states a correction for multiple tests

  • Consistentt(42) = 2.86reported p < .01 · recomputed p = .007

    “t(42) = 2.86, p < .01”

15 of 15

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Self-check results appear here once an independent check has confirmed them.

The citation lists haven’t been fetched yet

References 50 · Cited by 191

Research works printed but not linked: 1

  1. First MB Spitzer RL Gibbon M Williams JB (2007) Structured Clinical Interview for DSM-IV-TR Axis I Disorders: non-patient edition (SCID-I/NP, 1/2007 revision) (Biometrics Research, New York State Psychiatric Institute, New York).

Authors
Jones, R. M., Somerville, L. H., Li, J., Ruberry, E. J., Libby, V., Glover, G., Voss, H. U., Ballon, D. J., & Casey, B. J.
Affiliations
  • Weill Cornell Medicine (US)
  • New York University (US)
  • Stanford Medicine (US)
  • Citigroup (US)
  • Cornell University (US)
Venue
The Journal of Neuroscience
Published
2011-09-14
Volume
31
Issue
37
Pages
13039-13045
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
OpenAlex
W2113411523
Cited by
191
References
50
Citations by year
2026: 8 · 2025: 11 · 2024: 21 · 2023: 5 · 2022: 17 · 2021: 11 · 2020: 15 · 2019: 12 · 2018: 17 · 2017: 15 · 2016: 11 · 2015: 17 · 2014: 9 · 2013: 12 · 2012: 9
FWCI
4.87
Type
journal article
Language
en
Open access
Locations
  • Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Weill Cornell Medical College
  • National Institute of Mental Health (K99MH087813)
  • National Institute on Drug Abuse (R01DA018879, T32DA007274)
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 › Social Psychology › Neuroendocrine regulation and behavior
Keywords
social acceptance, peer acceptance, social reward, ventral striatum, orbitofrontal cortex, rostral anterior cingulate cortex, expected value, social preferences, likeability, response latency
MeSH terms
Adolescent, Adult, Brain, Brain Mapping, Conditioning, Operant, Facial Expression, Female, Humans, Magnetic Resonance Imaging, Male, Peer Group, Photic Stimulation, Psychomotor Performance, Reinforcement, Psychology, Social Behavior, Visual Perception

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