Social learning is fundamental to human interactions, yet its computational and physiological mechanisms are not well understood. One prominent open question concerns the role of neuromodulatory transmitters. We combined fMRI, computational modelling, and genetics to address this question in two separate samples (N=35, N=47). Participants played a game requiring inference on an advisor's intentions whose motivation to help or mislead changed over time. Our analyses suggest that hierarchically structured belief updates about current advice validity and the adviser's trustworthiness, respectively, depend on different neuromodulatory systems. Low-level prediction errors (PEs) about advice accuracy not only activated regions known to support "t...
One of the fundaments of associative learning theories is that surprising events drive learning by ...
Cooperation and betrayal are universal features of social interactions, and knowing who to trust is ...
Research has shown that the brain is constantly making predictions about future events. Theories of ...
Social learning is fundamental to human interactions, yet its computational and physiological mechan...
Persecutory delusions (PD) constitute core symptoms in psychosis that may emerge from aberrant learn...
Learning by following explicit advice is fundamental for human cultural evolution, yet the neurobiol...
Learning by following explicit advice is fundamental for human cultural evolution, yet the neurobiol...
Navigating the physical world requires learning probabilistic associations between sensory events an...
Computational models of social learning and decision-making provide mechanistic tools to investigate...
SummaryEvaluating the abilities of others is fundamental for successful economic and social behavior...
In Bayesian brain theories, hierarchically related prediction errors (PEs) play a central role for p...
‘Bayesian hierarchical predictive coding of human social behaviour.’ Biological agents are the most ...
A recent approach in social neuroscience has been the application of formal computational models for...
Evaluating the abilities of others is fundamental for successful economic and social behavior. We in...
Humans are a highly social species. Complex interactions for mutual support range from helping neigh...
One of the fundaments of associative learning theories is that surprising events drive learning by ...
Cooperation and betrayal are universal features of social interactions, and knowing who to trust is ...
Research has shown that the brain is constantly making predictions about future events. Theories of ...
Social learning is fundamental to human interactions, yet its computational and physiological mechan...
Persecutory delusions (PD) constitute core symptoms in psychosis that may emerge from aberrant learn...
Learning by following explicit advice is fundamental for human cultural evolution, yet the neurobiol...
Learning by following explicit advice is fundamental for human cultural evolution, yet the neurobiol...
Navigating the physical world requires learning probabilistic associations between sensory events an...
Computational models of social learning and decision-making provide mechanistic tools to investigate...
SummaryEvaluating the abilities of others is fundamental for successful economic and social behavior...
In Bayesian brain theories, hierarchically related prediction errors (PEs) play a central role for p...
‘Bayesian hierarchical predictive coding of human social behaviour.’ Biological agents are the most ...
A recent approach in social neuroscience has been the application of formal computational models for...
Evaluating the abilities of others is fundamental for successful economic and social behavior. We in...
Humans are a highly social species. Complex interactions for mutual support range from helping neigh...
One of the fundaments of associative learning theories is that surprising events drive learning by ...
Cooperation and betrayal are universal features of social interactions, and knowing who to trust is ...
Research has shown that the brain is constantly making predictions about future events. Theories of ...