In November 2023, I had the exciting opportunity to visit Professor Pernille Hemmer at Rutgers University. This research stay was funded by the FOR2812 and had the goal – with the help of Professor Hemmer’s expertise in Bayesian modeling – to apply a Bayesian approach to our P1 data. More specifically, we tried to fit a Bayesian model that would predict the effects of episodic prediction errors of varying strengths and replicate the pattern we found in our latest study.

Over the course of two weeks I learned a lot about Bayesian modeling, joined talks, colloquia and a lab dinner and engaged in a lot of lively and inspiring discussions. Hence, I did not only gain new knowledge and enthusiasm about Bayesian modeling but also valuable new ideas about and perspectives on our project.