Publication: Bayesian modelling captures inter-individual differences in social belief computations in the putamen and insula
Bayesian modelling captures inter-individual differences in social belief computations in the putamen and insula
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Henco, L., Brandi, M.-L., Lahnakoski, J. M., Diaconescu, A. O., Mathys, C., & Schilbach, L. (2020). Bayesian modelling captures inter-individual differences in social belief computations in the putamen and insula. Cortex, 131, 221–236. https://doi.org/10.1016/j.cortex.2020.02.024
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Computational models of social learning and decision-making provide mechanistic tools to investigate the neural mechanisms that are involved in understanding other people. While most studies employ explicit instructions to learn from social cues, everyday life is characterized by the spontaneous use of such signals (e.g., the gaze of others) to infer on internal states such as intentions. To investigate the neural mechanisms of the impact of gaze cues on learning and decision-making, we acquired behavioural and fMRI data from 50 parti
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- Henco, Lara
- Brandi, Marie-Luise
- Lahnakoski, Juha M
- Diaconescu, Andreea O
- Mathys, Christoph
- Schilbach, Leonhard
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Henco, L., Brandi, M.-L., Lahnakoski, J. M., Diaconescu, A. O., Mathys, C., & Schilbach, L. (2020). Bayesian modelling captures inter-individual differences in social belief computations in the putamen and insula. Cortex, 131, 221–236. https://doi.org/10.1016/j.cortex.2020.02.024
