My main research interest is the development and improvement of analysis methods that connect computational (cognitive) models to neuroimaging data. Better methods will enable a more fine-grained analysis of the astounding amount of neuroimaging data that is collected worldwide. Ultimately, this should lead to a better understanding of the human mind. As a first step, we have used a symbolic process model for a model-based fMRI analysis, showing that it outperforms traditional and parametric fMRI analysis methods.
Until 2011, I was a PhD student in the department of Artificial Intelligence of the University of Groningen. Together with my advisors, Niels Taatgen and Hedderik van Rijn, I investigated a cognitive bottleneck in human multitasking: processing intermediate representations. In addition, we developed a technique to map components of symbolic process models directly on the brain using model-based fMRI analysis.