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...
Research has shown that the brain is constantly making predictions about future events. Theories of ...
This thesis describes investigations on how the brain processes social influences during decision ma...
The human striatum is integral for reward-processing and supports learning by linking experienced ou...
Social learning is fundamental to human interactions, yet its computational and physiological mechan...
Learning by following explicit advice is fundamental for human cultural evolution, yet the neurobiol...
Computational models of social learning and decision-making provide mechanistic tools to investigate...
Learning by following explicit advice is fundamental for human cultural evolution, yet the neurobiol...
Persecutory delusions (PD) constitute core symptoms in psychosis that may emerge from aberrant learn...
Our preferences are influenced by the opinions of others. The past human neuroimaging studies on soc...
In Bayesian brain theories, hierarchically related prediction errors (PEs) play a central role for p...
Evaluating the abilities of others is fundamental for successful economic and social behavior. We in...
Evaluating the abilities of others is fundamental for successful economic and social behavior. We in...
Navigating the physical world requires learning probabilistic associations between sensory events an...
Research has shown that the brain is constantly making predictions about future events. Theories of ...
This thesis describes investigations on how the brain processes social influences during decision ma...
The human striatum is integral for reward-processing and supports learning by linking experienced ou...
Social learning is fundamental to human interactions, yet its computational and physiological mechan...
Learning by following explicit advice is fundamental for human cultural evolution, yet the neurobiol...
Computational models of social learning and decision-making provide mechanistic tools to investigate...
Learning by following explicit advice is fundamental for human cultural evolution, yet the neurobiol...
Persecutory delusions (PD) constitute core symptoms in psychosis that may emerge from aberrant learn...
Our preferences are influenced by the opinions of others. The past human neuroimaging studies on soc...
In Bayesian brain theories, hierarchically related prediction errors (PEs) play a central role for p...
Evaluating the abilities of others is fundamental for successful economic and social behavior. We in...
Evaluating the abilities of others is fundamental for successful economic and social behavior. We in...
Navigating the physical world requires learning probabilistic associations between sensory events an...
Research has shown that the brain is constantly making predictions about future events. Theories of ...
This thesis describes investigations on how the brain processes social influences during decision ma...
The human striatum is integral for reward-processing and supports learning by linking experienced ou...