ArticleeLife2020
Neural arbitration between social and individual learning systems.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Review
- Interpersonal brain synchronization at frontopolar cortices underlies better advice-taking in groups.Social cognitive and affective neuroscience · 2026Article
- Advantageous and disadvantageous inequality aversion can be taught through learning of others' preferences.eLife · 2025Article
- Dissecting how psychopathic traits are linked to learning in different contexts: A multilevel computational and electrophysiological approach.Cognitive, affective & behavioral neuroscience · 2025Article
- Experience and advice consequences shape information sharing strategies.Communications psychology · 2024Article
- A dissociation between the use of implicit and explicit priors in perceptual inference.Communications psychology · 2024Article
- Heterogeneity in strategy use during arbitration between experiential and observational learning.Nature communications · 2024Article
- Disentangling the contribution of individual and social learning processes in human advice-taking behavior.NPJ science of learning · 2024Article
- Predicting treatment response to ketamine in treatment-resistant depression using auditory mismatch negativity: Study protocol.PloS one · 2024Article
- Teachers recruit mentalizing regions to represent learners' beliefs.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- The computational relationship between reinforcement learning, social inference, and paranoia.PLoS computational biology · 2022Article
- The devil is in the task structure.eLife · 2022Article
- The prefrontal cortex and (uniquely) human cooperation: a comparative perspective.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Decision making requires integrating knowledge gathered from personal experiences with advice from others. The neural underpinnings of the process of arbitrating between information sources has not been fully elucidated. In this study, we formalized arbitration as the relative precision of predictions, afforded by each learning system, using hierarchical Bayesian modeling. In a probabilistic learning task, participants predicted the outcome of a lottery using recommendations from a more informed advisor and/or self-sampled outcomes. Decision confidence, as measured by the number of points participants wagered on their predictions, varied with our definition of arbitration as a ratio of precisions. Functional neuroimaging demonstrated that arbitration signals were independent of decision confidence and involved modality-specific brain regions. Arbitrating in favor of self-gathered information activated the dorsolateral prefrontal cortex and the midbrain, whereas arbitrating in favor of social information engaged the ventromedial prefrontal cortex and the amygdala. These findings indicate that relative precision captures arbitration between social and individual learning systems at both behavioral and neural levels.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.