Moritz Grosse‐Wentrup

University of Vienna — Austria

Neuroscience · Life Sciences

28h-index3.8kcitations157works1.12yr avg
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Research Topics

EEG and Brain-Computer Interfaces(107), Neural dynamics and brain function(56), Neuroscience and Neural Engineering(37), Functional Brain Connectivity Studies(35), Blind Source Separation Techniques(17)

Publications157 total

Methods for brain–computer interfacing
Brain-Computer Interfaces·2026
Auditory Tagging: Improving Performance of Auditory Brain-Computer Interfaces by Modulating Stimuli
2025
All-optical investigation reveals a hierarchical organization of vsx2+ reticulospinal neurons coordinating steering and forward locomotion
2025· 3 citedOpen Access
Neuro-cognitive multilevel causal modeling: A framework that bridges the explanatory gap between neuronal activity and cognition
PLoS Computational Biology·2024· 1 citedOpen Access
Exploring Artificial Neural Network Models for c-VEP Decoding in a Brain-Artificial Intelligence Interface
2024· 2 cited
Benchmarking brain–computer interface algorithms: Riemannian approaches vs convolutional neural networks
Journal of Neural Engineering·2024· 2 citedOpen Access
A Conversational Brain-Artificial Intelligence Interface
arXiv (Cornell University)·2024Open Access
Neuro-Cognitive Multilevel Causal Modeling: A Framework that Bridges the Explanatory Gap between Neuronal Activity and Cognition
2023Open Access
CaFe DBSCAN: A Density-based Clustering Algorithm for Causal Feature Learning
2023
BunDLe-Net: Neuronal Manifold Learning Meets Behaviour
2023· 2 citedOpen Access
Improvement-Focused Causal Recourse (ICR)
Proceedings of the AAAI Conference on Artificial Intelligence·2023· 10 citedOpen Access
PyTES: A Python toolbox for closed-loop transcranial electrical stimulation
SoftwareX·2023Open Access
Efficient SAGE Estimation via Causal Structure Learning
arXiv (Cornell University)·2023Open Access
Learning Cognitive State Representations from Neuronal and Behavioural Data
2023Open Access
Improvement-Focused Causal Recourse (ICR)
arXiv (Cornell University)·2022· 1 citedOpen Access
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets
arXiv (Cornell University)·2022· 1 citedOpen Access
Workshops of the eighth international brain–computer interface meeting: BCIs: the next frontier
Brain-Computer Interfaces·2022· 11 citedOpen Access
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
Lecture notes in computer science·2022· 143 citedOpen Access
PyTES: A Python-Toolbox for Closed-Loop Transcranial Electrical Stimulation
SSRN Electronic Journal·2022Open Access
Distance Covariance: A Nonlinear Extension of Riemannian Geometry for EEG-based Brain-Computer Interfacing
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)·2021· 2 cited
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Frequent Co-authors

Bernhard Schölkopf(24), Vinay Jayaram(7), Jan Peters(7), Tatiana Fomina(7), Gunnar König(6), Timo Freiesleben(5), Matthias R. Hohmann(5), Matthis Synofzik(5), Timm Meyer(4), Manuel Gomez-Rodriguez(4), J. Hill(4), Alireza Gharabaghi(4), Christoph Molnar(4), Bernd Bischl(4), Sebastian Weichwald(4), Lüdger Schöls(4), Morteza Alamgir(3), Yasemin Altün(3), Martin Buss(3), Julia Herbinger(3)