Sassenhagen, J. & Draschkow, D. (in prep). Uncovering commonalities between concept representations in vision and language with convolutional deep neural networks.
Gagl, B., & Draschkow, D. (in prep). Extension for eye tracking including gaze position and pupil size of the brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. check out the existing BIDS
Sassenhagen, J. & Draschkow, D. (2019). Cluster-based permutation tests of MEG/EEG data do not establish significance of effect latency or location. Psychophysiology. 2019; e13335. doi: doi.org/10.1111/psyp.13335 download
Kumle, L., Võ, M. L-H., & Draschkow, D. (2018). Mixedpower: a library for estimating simulation-based power for mixed models in R. https://doi.org/10.5281/zenodo.1341047 GitHub
Sassenhagen, J. (2018). How to analyse electrophysiological responses to naturalistic language with time-resolved multiple regression. Language, Cognition and Neuroscience, DOI: 10.1080/23273798.2018.1502458 download
Sassenhagen, J., and Alday, P. M. (2016). A common misapplication of statistical inference: Nuisance control with null-hypothesis significance tests. Brain and Language,162, 42-45 link