Prof. Dr.-Ing. Moritz Grosse-Wentrup

Research focus: Causality, brain decoding, neural prosthetics

Key words: Machine learning, biosignal processing, neural prosthetics

Publications:

M. Grosse-Wentrup, D. Janzing, M. Siegel, and B. Schölkopf. Identification of causal relations in neuroimaging data with latent confounders: An instrumental variable approach. NeuroImage, 125:825–833, 2016

V. Jayaram, M. Alamgir, Y. Altun, B. Schölkopf, and M. Grosse-Wentrup. Transfer learning in brain-computer  interfaces. IEEE Computational Intelligence Magazine, 11(1):20–31, 2016

T. Fomina, G. Lohmann, M. Erb, T. Ethofer, B. Schölkopf, and M. Grosse-Wentrup. Self-regulation of brain rhythms in the precuneus: A novel BCI paradigm for patients with ALS. Journal of Neural Engineering, 13(6), 2016

S. Weichwald, T. Meyer, O. Ozdenizci, B. Schölkopf, T. Ball, and M. Grosse-Wentrup. Causal interpretation rules for encoding and decoding models in neuroimaging. NeuroImage, 110:48–59, 2015

R. Küffner, N. Zach, N. Norel, J. Hawe, D. Schoenfeld, L. Wang, G. Li, L. Fang, L. Mackey, O. Hardiman, M. Cudkowicz, A. Sherman, G. Ertaylan, M. Grosse-Wentrup, T. Hothorn, J. van Ligtenberg, J.H. Macke, T. Meyer, B. Schölkopf, L. Tran, R. Vaughan, G. Stolovitzky, and M.L. Leitner. Crowd-sourced analysis of clinical trial data to predict
amyotrophic lateral sclerosis progression. Nature Biotechnology, 33(1):51–57, 2015