Welcome! My name is Jelmer Borst, and I am currently a postdoc in the lab of John Anderson at Carnegie Mellon University, and in the lab of Niels Taatgen at the University of Groningen.
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.