ArticleNature. Mental health2024
Individual differences in autism-like traits are associated with reduced goal emulation in a computational model of observational learning.
Article in Nature. Mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- ADHD Characteristics Are Linked to Divergent Risk-Taking Behaviors.Journal of attention disorders · 2026Article
- Modeling how autistic and non-autistic groups learn about their own and each other's preferences.Nature. Mental health · 2026Article
- Transdiagnostic mental health symptom dimensions predict use of flexible model-based inference in complex environments.Translational psychiatry · 2026Article
- Social learning and exploration-exploitation dilemma in decision-making.Frontiers in neural circuits · 2026Review
- Using the cognitive rigidity-flexibility dimension to deepen our understanding of the autism spectrum.Personality neuroscience · 2025Review
- A computational cognitive neuroscience approach for characterizing individual differences in autism: Introduction to Special Issue.Personality neuroscience · 2025Article
- Variability and stability of autistic traits in the general population: A systematic comparison between online and in-lab samples.Personality neuroscience · 2025Article
- Heterogeneity in strategy use during arbitration between experiential and observational learning.Nature communications · 2024Article
- Novel automated method to assess group dynamics reveals deficits in behavioral contagion in rats with social deficits.Frontiers in behavioral neuroscience · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
One's ability to infer the goals and intentions of others is crucial for social interactions, and such social capabilities are broadly distributed across individuals. Autism-like traits (i.e., traits associated with autism spectrum disorder (ASD)) have been associated with reduced social inference, yet the underlying computational principles and social cognitive processes are not well characterized. Here we tackle this problem by investigating inference during social learning through computational modeling in two large cross-sectional samples of adult participants from the general population (N
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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.