Robust MEG Source Localization of Event Related Potentials: Identifying Relevant Sources by Non-Gaussianity. - Peter Breun; Moritz Grosse-Wentrup; Wolfgang Utschick; Martin Buss (DAGM-Symposium, 2006)

Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces. - Moritz Grosse-Wentrup; Klaus Gramann; Martin Buss (NIPS, 2006)

Subspace identification through blind source separation. - Moritz Grosse-Wentrup; Martin Buss (IEEE Signal Process. Lett., 2006)

Comparison of Adaptive Spatial Filters with Heuristic and Optimized Region of Interest for EEG Based Brain-Computer-Interfaces. - Christian Liefhold; Moritz Grosse-Wentrup; Klaus Gramann; Martin Buss (DAGM-Symposium, 2007)

The role of the striatum in adaptation learning: a computational model. - Moritz Grosse-Wentrup; José L. Contreras-Vidal (Biol. Cybern., 2007)

Overcomplete Independent Component Analysis via Linearly Constrained Minimum Variance Spatial Filtering. - Moritz Grosse-Wentrup; Martin Buss (J. VLSI Signal Process., 2007)

Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing. - Moritz Grosse-Wentrup (NIPS, 2008)

Multiclass Common Spatial Patterns and Information Theoretic Feature Extraction. - Moritz Grosse-Wentrup; Martin Buss (IEEE Trans. Biomed. Eng., 2008)

Feature extraction in non-invasive brain-computer interfaces. - Moritz Grosse-Wentrup (2008)

Beamforming in Noninvasive Brain-Computer Interfaces. - Moritz Grosse-Wentrup; Christian Liefhold; Klaus Gramann; Martin Buss (IEEE Trans. Biomed. Eng., 2009)

Closing the sensorimotor loop: Haptic feedback facilitates decoding of arm movement imagery. - Manuel Gomez-Rodriguez; Jan Peters 001; N. Jeremy Hill; Bernhard Schölkopf; Alireza Gharabaghi; Moritz Grosse-Wentrup (SMC, 2010)

Multitask Learning for Brain-Computer Interfaces. - Morteza Alamgir; Moritz Grosse-Wentrup; Yasemin Altun (AISTATS, 2010)

Multisubject Learning for Common Spatial Patterns in Motor-Imagery BCI. - Dieter Devlaminck; Bart Wyns; Moritz Grosse-Wentrup; Georges Otte; Patrick Santens (Comput. Intell. Neurosci., 2011)

Causal influence of gamma oscillations on the sensorimotor rhythm. - Moritz Grosse-Wentrup; Bernhard Schölkopf; N. Jeremy Hill (NeuroImage, 2011)

A brain-robot interface for studying motor learning after stroke. - Timm Meyer; Jan Peters 001; Doris Brtz; Thorsten O. Zander; Bernhard Schölkopf; Surjo R. Soekadar; Moritz Grosse-Wentrup (IROS, 2012)

How to Test the Quality of Reconstructed Sources in Independent Component Analysis (ICA) of EEG/MEG Data. - Moritz Grosse-Wentrup; Stefan Harmeling; Thorsten O. Zander; N. Jeremy Hill; Bernhard Schölkopf (PRNI, 2013)

Decoding index finger position from EEG using random forests. - Sebastian Weichwald; Timm Meyer; Bernhard Schölkopf; Tonio Ball; Moritz Grosse-Wentrup (CIP, 2014)

Causal and anti-causal learning in pattern recognition for neuroimaging. - Sebastian Weichwald; Bernhard Schölkopf; Tonio Ball; Moritz Grosse-Wentrup (PRNI, 2014)

The Influence of Decoding Accuracy on Perceived Control: A Simulated BCI Study. - Pouyan Rafiei Fard; Moritz Grosse-Wentrup (CoRR, 2014)

Is breathing rate a confounding variable in brain-computer interfaces (BCIs) based on EEG spectral power? - Andrea Ibarra Chaoul; Moritz Grosse-Wentrup (EMBC, 2015)

Identification of the Default Mode Network with electroencephalography. - Tatiana Fomina; Matthias Hohmann; Bernhard Schölkopf; Moritz Grosse-Wentrup (EMBC, 2015)

Brain-computer interfacing in amyotrophic lateral sclerosis: Implications of a resting-state EEG analysis. - Vinay Jayaram; Natalie Widmann; Christian Forster; Tatiana Fomina; Matthias Hohmann; Jennifer Muller vom Hagen; Matthis Synofzik; Bernhard Schölkopf; Ludger Schöls; Moritz Grosse-Wentrup (EMBC, 2015)

Adaptive neurofeedback on parieto-occipital cortex for motor learning performance. - Ozan Özdenizci; Timm Meyer; Müjdat Çetin; Moritz Grosse-Wentrup (SIU, 2015)

A Cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis. - Matthias R. Hohmann; Tatiana Fomina; Vinay Jayaram; Natalie Widmann; Christian Forster; Jennifer Muller vom Hagen; Matthis Synofzik; Bernhard Schölkopf; Ludger Schöls; Moritz Grosse-Wentrup (SMC, 2015)

Transfer Learning in Brain-Computer Interfaces. - Vinay Jayaram; Morteza Alamgir; Yasemin Altun; Bernhard Schölkopf; Moritz Grosse-Wentrup (CoRR, 2015)

Causal interpretation rules for encoding and decoding models in neuroimaging. - Sebastian Weichwald; Timm Meyer; Ozan Özdenizci; Bernhard Schölkopf; Tonio Ball; Moritz Grosse-Wentrup (NeuroImage, 2015)

Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data. - Sebastian Weichwald; Arthur Gretton; Bernhard Schölkopf; Moritz Grosse-Wentrup (PRNI, 2016)

Resting-state EEG correlates of motor learning performance in a force-field adaptation task. - Ozan Özdenizci; Mustafa Yalcin; Ahmetcan Erdogan; Volkan Patoglu; Moritz Grosse-Wentrup; Müjdat Çetin (SIU, 2016)

Multi-task logistic regression in brain-computer interfaces. - Karl-Heinz Fiebig; Vinay Jayaram; Jan Peters 001; Moritz Grosse-Wentrup (SMC, 2016)

Transfer Learning in Brain-Computer Interfaces Abstract uFFFDThe performance of brain-computer interfaces (BCIs) improves with the amount of avail. - Vinay Jayaram; Morteza Alamgir; Yasemin Altun; Bernhard Schölkopf; Moritz Grosse-Wentrup (IEEE Comput. Intell. Mag., 2016)

Optimal Coding in Biological and Artificial Neural Networks. - Sebastian Weichwald; Tatiana Fomina; Bernhard Schölkopf; Moritz Grosse-Wentrup (CoRR, 2016)

MERLiN: Mixture Effect Recovery in Linear Networks. - Sebastian Weichwald; Moritz Grosse-Wentrup; Arthur Gretton (IEEE J. Sel. Top. Signal Process., 2016)

Identification of causal relations in neuroimaging data with latent confounders: An instrumental variable approach. - Moritz Grosse-Wentrup; Dominik Janzing; Markus Siegel; Bernhard Schölkopf (NeuroImage, 2016)

Bayesian Regression for Artifact correction in Electroencephalography. - Karl-Heinz Fiebig; Vinay Jayaram; Thomas Hesse; Alexander Blank; Jan Peters 001; Moritz Grosse-Wentrup (GBCIC, 2017)

Closing One's eyes Affects amplitude modulation but not frequency modulation in a Cognitive BCI. - Marius Goerner; Bernhard Schölkopf; Moritz Grosse-Wentrup (GBCIC, 2017)

Investigating Music imagery as a Cognitive Paradigm for low-Cost brain-Computer Interfaces. - Lukas Großberger; Matthias R. Hohmann; Jan Peters 001; Moritz Grosse-Wentrup (GBCIC, 2017)

A Guided Task for Cognitive brain-Computer Interfaces. - Julia Moser; Matthias Hohmann; Bernhard Schölkopf; Moritz Grosse-Wentrup (GBCIC, 2017)

Correlations of motor Adaptation Learning and modulation of resting-State sensorimotor EEG Activity. - Ozan Özdenizci; Mustafa Yalcin; Ahmetcan Erdogan; Volkan Patoglu; Moritz Grosse-Wentrup; Müjdat Çetin (GBCIC, 2017)

Pre-movement contralateral EEG low beta power is modulated with motor adaptation learning. - Ozan Özdenizci; Mustafa Yalcin; Ahmetcan Erdogan; Volkan Patoglu; Moritz Grosse-Wentrup; Müjdat Çetin (ICASSP, 2017)

Frequency peak features for low-channel classification in motor imagery paradigms. - Vinay Jayaram; Bernhard Schölkopf; Moritz Grosse-Wentrup (NER, 2017)

Personalized brain-computer interface models for motor rehabilitation. - Anastasia-Atalanti Mastakouri; Sebastian Weichwald; Ozan Özdenizci; Timm Meyer; Bernhard Schölkopf; Moritz Grosse-Wentrup (SMC, 2017)

Causal Consistency of Structural Equation Models. - Paul K. Rubenstein; Sebastian Weichwald; Stephan Bongers; Joris M. Mooij; Dominik Janzing; Moritz Grosse-Wentrup; Bernhard Schölkopf (UAI, 2017)

The Elusive Goal of BCI-based Communication with CLIS-ALS Patients. - Moritz Grosse-Wentrup (BCI, 2019)

MYND: A Platform for Large-scale Neuroscientific Studies. - Matthias R. Hohmann; Michelle Hackl; Brian Wirth; Talha Zaman; Raffi Enficiaud; Moritz Grosse-Wentrup; Bernhard Schölkopf (CHI Extended Abstracts, 2019)

Beta Power May Meditate the Effect of Gamma-TACS on Motor Performance. - Atalanti-Anastasia Mastakouri; Bernhard Schölkopf; Moritz Grosse-Wentrup (EMBC, 2019)

Interpretable Riemannian Classification in Brain-Computer Interfacing. - Jiachen Xu; Moritz Grosse-Wentrup; Vinay Jayaram (GBCIC, 2019)

Feature extraction from the Hermitian manifold for Brain-Computer Interfaces. - Jiachen Xu; Vinay Jayaram; Bernhard Schölkopf; Moritz Grosse-Wentrup (NER, 2019)

Neural Signatures of Motor Skill in the Resting Brain. - Ozan Özdenizci; Timm Meyer; Felix A. Wichmann; Jan Peters 001; Bernhard Schölkopf; Müjdat Çetin; Moritz Grosse-Wentrup (SMC, 2019)

Tangent space spatial filters for interpretable and efficient Riemannian classification. - Jiachen Xu; Moritz Grosse-Wentrup; Vinay Jayaram (CoRR, 2019)

General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models. - Christoph Molnar; Gunnar König; Julia Herbinger; Timo Freiesleben; Susanne Dandl; Christian A. Scholbeck; Giuseppe Casalicchio; Moritz Grosse-Wentrup; Bernd Bischl (xxAI@ICML, 2020)

Relative Feature Importance. - Gunnar König; Christoph Molnar; Bernd Bischl; Moritz Grosse-Wentrup (ICPR, 2020)

MeDIL: A Python Package for Causal Modelling. - Alex Markham; Aditya Chivukula; Moritz Grosse-Wentrup (PGM, 2020)

Measurement Dependence Inducing Latent Causal Models. - Alex Markham; Moritz Grosse-Wentrup (UAI, 2020)

MYND: Unsupervised Evaluation of Novel BCI Control Strategies on Consumer Hardware. - Matthias R. Hohmann; Lisa Konieczny; Michelle Hackl; Brian Wirth; Talha Zaman; Raffi Enficiaud; Moritz Grosse-Wentrup; Bernhard Schölkopf (UIST, 2020)

Pitfalls to Avoid when Interpreting Machine Learning Models. - Christoph Molnar; Gunnar König; Julia Herbinger; Timo Freiesleben; Susanne Dandl; Christian A. Scholbeck; Giuseppe Casalicchio; Moritz Grosse-Wentrup; Bernd Bischl (CoRR, 2020)

A theory of algorithms and implementations and their relevance to cognitive science. - Anja Meunier; Alex Markham; Moritz Grosse-Wentrup (CogSci, 2021)

2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. - Xiaoxi Wei; A. Aldo Faisal; Moritz Grosse-Wentrup; Alexandre Gramfort; Sylvain Chevallier; Vinay Jayaram; Camille Jeunet; Stylianos Bakas; Siegfried Ludwig; Konstantinos Barmpas; Mehdi Bahri; Yannis Panagakis; et al. (NeurIPS (Competition and Demos), 2021)

Distance Covariance: A Nonlinear Extension of Riemannian Geometry for EEG-based Brain-Computer Interfacing. - Jiachen Xu; Alex Markham; Anja Meunier; Philipp Raggam; Moritz Grosse-Wentrup (SMC, 2021)

A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations. - Alex Markham; Moritz Grosse-Wentrup (CoRR, 2021)

Decomposition of Global Feature Importance into Direct and Associative Components (DEDACT). - Gunnar König; Timo Freiesleben; Bernd Bischl; Giuseppe Casalicchio; Moritz Grosse-Wentrup (CoRR, 2021)

A Causal Perspective on Meaningful and Robust Algorithmic Recourse. - Gunnar König; Timo Freiesleben; Moritz Grosse-Wentrup (CoRR, 2021)

Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states. - Federico Zilio; Javier Gomez-Pilar; Shumei Cao; Jun Zhang 081; Di Zang; Zengxin Qi; Jiaxing Tan; Tanigawa Hiromi; Xuehai Wu; Stuart M. Fogel; Zirui Huang; Matthias R. Hohmann; et al. (NeuroImage, 2021)

ArmSym: A Virtual Human-Robot Interaction Laboratory for Assistive Robotics. - Samuel Bustamante; Jan Peters 001; Bernhard Schölkopf; Moritz Grosse-Wentrup; Vinay Jayaram (IEEE Trans. Hum. Mach. Syst., 2021)

A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations. - Alex Markham; Richeek Das; Moritz Grosse-Wentrup (CLeaR, 2022)

Improvement-Focused Causal Recourse (ICR). - Gunnar König; Timo Freiesleben; Moritz Grosse-Wentrup (AAAI, 2023)

Efficient SAGE Estimation via Causal Structure Learning. - Christoph Luther; Gunnar König; Moritz Grosse-Wentrup (AISTATS, 2023)

CaFe DBSCAN: A Density-based Clustering Algorithm for Causal Feature Learning. - Pascal Weber 001; Lukas Miklautz; Akshey Kumar; Moritz Grosse-Wentrup; Claudia Plant (DSAA, 2023)

Predicting motor behavior: an efficient EEG signal processing pipeline to detect brain states with potential therapeutic relevance for VR-based neurorehabilitation. - Eric James McDermott; Johanna Metsomaa; Paolo Belardinelli; Moritz Grosse-Wentrup; Ulf Ziemann; Christoph Zrenner (Virtual Real., 2023)

PyTES: A Python toolbox for closed-loop transcranial electrical stimulation. - Jiachen Xu; Moritz Grosse-Wentrup (SoftwareX, 2023)

Exploring Artificial Neural Network Models for c-VEP Decoding in a Brain-Artificial Intelligence Interface. - Zhengqing Miao; Anja Meunier; Michal Robert Zák; Moritz Grosse-Wentrup (BIBM, 2024)

A Conversational Brain-Artificial Intelligence Interface. - Anja Meunier; Michal Robert Zák; Lucas Munz; Sofiya Garkot; Manuel Eder; Jiachen Xu; Moritz Grosse-Wentrup (CoRR, 2024)

Neuro-cognitive multilevel causal modeling: A framework that bridges the explanatory gap between neuronal activity and cognition. - Moritz Grosse-Wentrup; Akshey Kumar; Anja Meunier; Manuel Zimmer (PLoS Comput. Biol., 2024)

Auditory Conversational BAI: A Feasibility Study. - Michal Robert Zák; Moritz Grosse-Wentrup (CoRR, 2025)