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. Together with Niels Taatgen and Hedderik van Rijn I supervise two PhD candidates: Ioanna Katidioti and Menno Nijboer.
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. Subsequently, we applied this method to five previously published datasets, and used these analyses to locate working memory updates and declarative retrievals within the fronto-parietal network.
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.