activity
20162020
collaborators

5 papers

cs.HC2020

MYND: Unsupervised Evaluation of Novel BCI Control Strategies on Consumer Hardware

Matthias R. Hohmann, Lisa Konieczny, Michelle Hackl +5

Neurophysiological studies are typically conducted in laboratories with limited ecological validity, scalability, and generalizability of findings. This is a significant challenge…

stat.ML2019

Measurement Dependence Inducing Latent Causal Models

Alex Markham, Moritz Grosse-Wentrup

We consider the task of causal structure learning over measurement dependence inducing latent (MeDIL) causal models. We show that this task can be framed in terms of the graph theo…

eess.SP2019

Tangent space spatial filters for interpretable and efficient Riemannian classification

Jiachen Xu, Moritz Grosse-Wentrup, Vinay Jayaram

Methods based on Riemannian geometry have proven themselves to be good models for decoding in brain-computer interfacing (BCI). However, one major drawback of these methods is that…

q-bio.NC2019

Neural Signatures of Motor Skill in the Resting Brain

Ozan Özdenizci, Timm Meyer, Felix Wichmann +4

Stroke-induced disturbances of large-scale cortical networks are known to be associated with the extent of motor deficits. We argue that identifying brain networks representative o…

stat.ML2016

Proceedings of the 5th Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI) at NIPS 2015

I. Rish, L. Wehbe, G. Langs +3

This volume is a collection of contributions from the 5th Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI) at the Neural Information Processing Systems (NIPS…