ReviewSocial neuroscience2018
The application of computational models to social neuroscience: promises and pitfalls.
Review in Social neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
32 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A feature-based network analysis and fMRI meta-analysis reveal three distinct types of prosocial decisions.Social cognitive and affective neuroscience · 2021Pooled it
- The neuroscience of social feelings: mechanisms of adaptive social functioning.Neuroscience and biobehavioral reviews · 2021Pooled it
- Modeling other minds: Bayesian inference explains human choices in group decision-making.Science advances · 2019Trial
- Reward and Imitation in Social Conformity.Brain and behavior · 2026Article
- Task and Resting-State Functional Magnetic Resonance Imaging Modeling of Brain-Behavior Relationships in Developmental Cohorts.Biological psychiatry · 2026Review
- A Precision Computational Framework for sLORETA Neurofeedback in Mild Cognitive Impairment: Integration of qEEG Biomarkers and Neuropsychological Metrics.International journal of environmental research and public health · 2026Article
- Article
- Estimating and learning personality traits of and from women with borderline personality disorder.Borderline personality disorder and emotion dysregulation · 2026Article
- Social learning and exploration-exploitation dilemma in decision-making.Frontiers in neural circuits · 2026Review
- Observational learning strategies impact the neural correlates of declarative memory formation.Communications biology · 2025Article
- Social inequity disrupts reward-based learning.Communications psychology · 2025Article
- Article
- FrAMBI: A Software Framework for Auditory Modeling Based on Bayesian Inference.Neuroinformatics · 2025Article
- Social conformity is a heuristic when individual risky decision-making is disrupted.PLoS computational biology · 2024Article
- Humans can infer social preferences from decision speed alone.PLoS biology · 2024Article
- Heterogeneity in strategy use during arbitration between experiential and observational learning.Nature communications · 2024Article
- What can evidence accumulation modelling tell us about human social cognition?Quarterly journal of experimental psychology (2006) · 2024Article
- The social transmission of empathy relies on observational reinforcement learning.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Dissociation of vicarious and experienced rewards by coupling frequency within the same neural pathway.Neuron · 2023Article
- A Fluid Self-Concept: How the Brain Maintains Coherence and Positivity across an Interconnected Self-Concept While Incorporating Social Feedback.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Interactions with conspecifics are key to any social species. In order to navigate this social world, it is crucial for individuals to learn from and about others. From learning new skills by observing parents perform them to making complex collective decisions, understanding the mechanisms underlying social cognitive processes has been of considerable interest to psychologists and neuroscientists. Here, we review studies that have used computational modelling techniques, combined with neuroimaging, to shed light on how people learn and make decisions in social contexts. As opposed to standard social neuroscience methods, the computational approach allows one to directly examine where in the brain particular computations, as estimated by models of behavior, are implemented. Findings suggest that people use several strategies to learn from others: vicarious reward learning, where one learns from observing the reward outcomes of another agent; action imitation, which relies on encoding a prediction error between the expected and actual actions of the other agent; and social inference, where one learns by inferring the goals and intentions of others. These computations are implemented in distinct neural networks, which may be recruited adaptively depending on task demands, the environment and other social factors.
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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.