My research interests are concerned with the computational principles and neuronal mechanisms underlying perception and perceptual learning. I am interested in the role of mismatch responses in hierarchically structured cortex in relation to predictive processing and Bayesian computation. Using electrophysiological measures, I investigate signatures of surprise in somatosensory and multisensory cortex.

Grundei, M., Schmidt, T. T., & Blankenburg, F. (2023). A multimodal cortical network of sensory expectation violation revealed by fMRI. Human Brain Mapping.

Grundei, M., Schröder, P., Gijsen, S., & Blankenburg, F. (2023). EEG mismatch responses in a multimodal roving stimulus paradigm provide evidence for probabilistic inference across audition, somatosensation, and vision. Human Brain Mapping, 1–25. https://doi.org/10.1002/hbm.26303

Gijsen, S., Grundei, M., & Blankenburg, F. (2022). Active inference and the two-step task. Scientific Reports, 12(1), 17682. https://doi.org/10.1038/s41598-022-21766-4

Gijsen, S*., Grundei, M.*, Lange, R. T., Ostwald, D., & Blankenburg, F. (2021). Neural surprise in somatosensory Bayesian learning. PLoS computational biology, 17(2), e1008068. https://doi.org/10.1371/journal.pcbi.1008068

*equal contribution