Neuro-computational mechanisms of information acquisition and integration in social contexts (360G-Wellcome-218642_Z_19_Z)
Understanding the social cognitive mechanisms that enable people to learn from and interact with others has been of considerable interest to psychologists and neuroscientists for decades. Yet, the mechanisms underlying our ability to gather information from other people and to learn from them by integrating this information into our beliefs remain to be elucidated. Here, I proposed to use a neuro-computational approach, combining behavioural experiments, neuroimaging, brain stimulation, and computational modelling to provide an integrated framework of how information acquisition and integration are influenced by social contexts. Three key questions form the core of this proposal: How are choices of information sources influenced by social confirmation bias? How do people learn from misinformation in social contexts? How do these social influences interact with anxiety? Across four studies in three international sites, this research will (i) further our understanding of the behavioural and neural mechanistic computations underlying these processes, (ii) determine the causality of the neural mechanisms, and (iii) elucidate how these computations vary with psychiatric symptoms. Addressing these questions will not only contribute to advancing multiple disciplines, from social neuroscience to behavioural economics, but also has potential implications for wider societal questions, from mental health to policy−making.
£300,000 06 Nov 2019