Bayesian analysis of the interaction of learning, semantics and social influence with crossmodal integration (B02)

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Project will use novel methods of Bayesian analysis to investigate how the integration of crossmodal stimuli in human subjects interacts with learning, semantics and social context. Regularized Bayesian inference provides an elegant way to incorporate modulatory influences into Bayesian models, Using this technique, the project will be able to model behavioural and fMRI data and describe not just how learning, semantics and social context can modulate crossmodal integration but also how this integration can impact (facilitate or impede) learning and decision making.