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Sam Gijsen


Arbeitsbereich Neurocomputation and Neuroimaging

PhD Candidate

Habelschwerdter Allee 45
Room JK25/211
14195 Berlin

I am particularly interested in functional neuroimaging and connectivity analyses. I aim to complement these methods with Bayesian computational modelling to investigate the functional architecture underlying mismatch processing. I believe the resulting study of the asynchrony between top-down and bottom-up signalling may be highly informative for investigating general computational theories of brain function, with a focus on the predictive coding framework. The current goal will be to study these cortical dynamics on various levels.

Additionally, my interests include neuropsychopharmacology and its application in brain disorders and the study of consciousness.

Gijsen, S*., Grundei, M.*, Lange, R. T., Ostwald, D., & Blankenburg, F. (2021). Neural surprise in somatosensory Bayesian learning. PLoS computational biology17(2), e1008068. https://doi.org/10.1371/journal.pcbi.1008068

*equal contribution