NATPRED: Naturalistic Predictions: How our brain anticipates the future in a dynamic world

About this position

We recently developed a new approach in the lab that combines MEG recordings of participants observing naturalistic dynamic input (e.g., movies), with dynamic representational similarity analysis (dRSA) to quantify both the strength and the millisecond-precision latency of neural representations of naturalistic dynamic input, across hierarchical levels of stimulus complexity (from perceptual-to-conceptual). See [4,5] for relevant previous research from the lab. This fully-funded postdoc position is part of a larger 5-year project funded by the Italian government (FIS starting grant) on which several PhD/postdocs will work.

Depending on background and interest, the postdoc will focus on one of four research lines that all investigate how fundamental real-life factors determine the (predictive) representational dynamics of our brain under naturalistic conditions, and that are difficult to investigate with more controlled conventional paradigms.