460 citations · 878 across the 26 of their papers we have counts for
5 papers · 1 filter
Causal and anti-causal learning in pattern recognition for neuroimaging
Sebastian Weichwald, Bernhard Schölkopf, Tonio Ball +1
Pattern recognition in neuroimaging distinguishes between two types of models: encoding- and decoding models. This distinction is based on the insight that brain state features, th…
Decoding index finger position from EEG using random forests
Sebastian Weichwald, Timm Meyer, Bernhard Schölkopf +2
While invasively recorded brain activity is known to provide detailed information on motor commands, it is an open question at what level of detail information about positions of b…
MERLiN: Mixture Effect Recovery in Linear Networks
Sebastian Weichwald, Moritz Grosse-Wentrup, Arthur Gretton
Causal inference concerns the identification of cause-effect relationships between variables, e.g. establishing whether a stimulus affects activity in a certain brain region. The o…
Transfer Learning in Brain-Computer Interfaces
Vinay Jayaram, Morteza Alamgir, Yasemin Altun +2
The performance of brain-computer interfaces (BCIs) improves with the amount of available training data, the statistical distribution of this data, however, varies across subjects…
Causal interpretation rules for encoding and decoding models in neuroimaging
Sebastian Weichwald, Timm Meyer, Ozan Özdenizci +3
Causal terminology is often introduced in the interpretation of encoding and decoding models trained on neuroimaging data. In this article, we investigate which causal statements a…