Univ.-Prof. Dipl.-Ing. Dr. -Ing. Moritz Grosse-Wentrup
1090 Wien
Raum : 02.49
Lehrveranstaltungen
Wintersemester 2026
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051080 LP Softwarepraktikum mit Bachelorarbeit
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051130 VO Einführende Statistik
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052300 VU Foundations of Data Analysis
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052600 VU Signal and Image Processing
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053021 LP Praktikum Informatik 1
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053031 LP Praktikum Informatik 2
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053049 SE Masterseminar
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311881 PR Scientific Practice in Neuroscience II
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500501 SE Doktoranden Forschungsseminar - Data and Knowledge
Sommersemester 2026
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051080 LP Softwarepraktikum mit Bachelorarbeit
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052300 VU Foundations of Data Analysis
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052600 VU Signal and Image Processing
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053021 LP Praktikum Informatik 1
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053031 LP Praktikum Informatik 2
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053049 SE Masterseminar
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053631 LP Data Analysis Project
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500501 SE Doktoranden Forschungsseminar - Data and Knowledge
Wintersemester 2025
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051080 LP Softwarepraktikum mit Bachelorarbeit
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051130 VO Einführende Statistik
-
052300 VU Foundations of Data Analysis
-
052600 VU Signal and Image Processing
-
053021 LP Praktikum Informatik 1
-
053031 LP Praktikum Informatik 2
-
053049 SE Masterseminar
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500501 SE Doktoranden Forschungsseminar - Data and Knowledge
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540019 SE Introduction to CoBeNe 25/26
Publikationen
Neuro-Cognitive Multilevel Causal Modeling: A Framework that Bridges the Explanatory Gap between Neuronal Activity and Cognition. / Grosse-Wentrup, Moritz (Korresp. Autor*in); Kumar, Akshey; Meunier, Anja et al.
bioRxiv, 2023. S. 1.
Veröffentlichungen: Working Paper › Preprint
BunDLe-Net: Neuronal Manifold Learning Meets Behaviour. / Kumar, Akshey; Gilra, Aditya; Gonzalez Soto, Mauricio et al.
bioRxiv, 2023. S. 1.
Veröffentlichungen: Working Paper › Preprint
Learning cognitive state representations from neuronal and behavioural data. / Kumar, Akshey; Gilra, Aditya; Grosse-Wentrup, Moritz.
Conference on Cognitive Computational Neuroscience 2023. 2023.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed
PyTES: A Python toolbox for closed-loop transcranial electrical stimulation. / Xu, Jiachen; Grosse-Wentrup, Moritz.
in: SoftwareX, Band 23, 101403, 07.2023.
Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed
Improvement-focused causal recourse (ICR). / König, Gunnar; Freiesleben, Timo; Grosse-Wentrup, Moritz.
2023. 11847-11855 Beitrag in The 37th AAAI Conference on Artificial Intelligence, Washington, District of Columbia, USA / Vereinigte Staaten.
Veröffentlichungen: Beitrag zu Konferenz › Paper › Peer Reviewed
Predicting high-quality movements in post-stroke motor rehabilitation from EEG. / Raggam, Philipp; Zrenner, Christoph; McDermott, Eric J. et al.
2023. 10th International BCI Meeting, Brussels, Belgien.
Veröffentlichungen: Beitrag zu Konferenz › Sonstiger Konferenzbeitrag › Peer Reviewed
Efficient SAGE Estimation via Causal Structure Learning. / Luther, Christoph; König, Gunnar; Grosse-Wentrup, Moritz.
in: Proceedings of Machine Learning Research (PMLR), Band 206, 25.04.2023, S. 11650-11670.
Veröffentlichungen: Beitrag in Fachzeitschrift › Meeting Abstract/Conference Paper › Peer Reviewed
Predicting motor behavior: an efficient EEG signal processing pipeline to detect brain states with potential therapeutic relevance for VR-based neurorehabilitation. / McDermott, Eric J.; Metsomaa, Johanna; Paolo, Belardinelli et al.
in: Virtual Reality, Band 27, Nr. 1, 03.2023, S. 347-369.
Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed
CaFe DBSCAN: A Density-based Clustering Algorithm for Causal Feature Learning. / Weber, Pascal; Miklautz, Lukas; Kumar, Akshey et al.
The 10th IEEE International Conference on Data Science and Advanced Analytics. 2023.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed
A mathematical framework for bridging Marr’s levels. / Meunier, Anja; Grosse-Wentrup, Moritz.
2022. 635-637 Beitrag in Conference on Cognitive Computational Neuroscience 2022, San Francisco, California, USA / Vereinigte Staaten.
Veröffentlichungen: Beitrag zu Konferenz › Paper › Peer Reviewed
Projekte
Neuronal circuits in health and disease
An interdisciplinary approach to learn and test the causal mapping between neural network dynamics and behavior
Talkback Function for Interactive Neuroadaptive Learning
Causal eXplanations in Reinforcement Learning
ZEbrafish Neuroscience Interdisciplinary Training Hub
Vorträge
Brain-AI Interfaces: The Convergence of Artificial and Biological Intelligence
Computations on the Neuronal Manifold
Brain-Artificial Intelligence Interfaces (BAIs)
Bridging the Explanatory Gap between Neuronal Activity and Cognition through Multilevel Causal Modeling
Brain-Artificial Intelligence Interfaces (BAIs)
Artificial intelligence & brain-computer interfaces
Bridging the Explanatory Gap between Neuronal Activity and Cognition through Multilevel Causal Modeling
Continual Causality
Workshop at the research group Neuro-ergonomics and human-factors (DCAS)
Brain-Computer Interface: Separating Fact from Fiction
Brain-Artificial Intelligence Interfaces (BAIs)
A Causal Perspective on Interpretable Machine Learning
Bridging the explanatory gap between neuronal activity and cognition by multilevel causal modeling
Bridging the Explanatory Gap between Neuronal Activity and Cognition by Multilevel Causal Modeling
Brain-Artificial Intelligence Interfaces
How (not) to Interpret Multivariate Decoding Models in Neuroimaging
Brain-Artificial Intelligence Interfaces (BAIs)
Multilevel Causal Modeling: Towards Bridging the Explanatory Gap in Cognitive Neuroscience
The Elusive Goal of BCI-based Communication with CLIS-ALS Patients
Gedanken lesen durch Hirnströme? Die Zukunft von Gehirn- Computer Schnittstellen
Brain-Artificial Intelligence Interface (BAIs)
Personalized Motor Rehabilitation
The Elusive Goal of BCI-based Communication with CLIS-ALS Patients
Info
Sprechstunden:
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