Dipl.-Ing. Dr. techn. David Steyrl
T: +43-1-4277-47123

Sprechstunde: Nur auf Anfrage

Wintersemester 2019
200114 SE Anwendungsseminar: Geist und Gehirn - Introduction to machine learning / Einführung in das maschinelle Lernen
200139 SE Vertiefungsseminar: Geist und Gehirn - Mechanisms of exposure therapy as a dynamic feedback system
Haugg , A, Steyrl, D, Götzendorfer, S, Lor, C, Nicholson, A & Scharnowski, F 2019, 'Factors influencing fMRI neurofeedback learning – a machine learning mega-analysis' Beitrag in Real time functional imaging and neurofeedback conference 2019, Maastricht, Niederlande, 9/12/19 - 19/12/19, .







Schwarz, A, Steyrl, D & Müller-Putz, G 2017, Brain-Computer Interface adaptation for an end user to compete in the Cybathlon. in Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics. https://doi.org/10.1109/SMC.2016.7844499

Müller-Putz, G, Steyrl, D (Hrsg.), Wriessnegger, SC (Hrsg.) & Scherer, R (Hrsg.) 2017, Proceedings of the 7th Graz Brain-Computer Interface Conference 2017: From Vision to Reality. Verlag der Technischen Universität Graz. https://doi.org/10.3217/978-3-85125-533-1


Schwarz, A, Steyrl, D, Höller, MK, Statthaler, K & Müller-Putz, G 2016, BCI adaption for end user –The GRAZ-BCI approach. in Cybathlon Symposium Booklet, ETH.

Höller, MK, Schwarz, A, Steyrl, D, Statthaler, K & Müller-Putz, G 2016, First contact screening of a BCI Pilot. in Cybathlon Symposium Booklet, ETH.

Statthaler, K, Steyrl, D, Schwarz, A, Höller, MK & Müller-Putz, G 2016, Optimized individual mental tasks to control BCIs. in Cybathlon Symposium Booklet, ETH.

Steyrl, D, Schwarz, A & Müller-Putz, G 2016, The MIRAGE91 Brain–Computer Interface. in Cybathlon Symposium Booklet, ETH.


Müller-Putz, G, Schwarz, A & Steyrl, D 2016, Mirage91: The Graz BCI-Racing Team – making students familiar with BCI research. in Proceedings of the 6th International Brain-Computer Interface Meeting, Asilomar Conference Center, Pacific Grove, California, USA. https://doi.org/10.3217/978-3-85125-467-9-63


Schwarz, A, Scherer, R, Steyrl, D, Faller, J & Muller-Putz, GR 2015, A co-adaptive sensory motor rhythms Brain-Computer Interface based on common spatial patterns and Random Forest. in 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2015.7318545

Scherer, R, Faller, J, Opisso, E, Costa, U, Steyrl, D & Muller-Putz, GR 2015, Bring mental activity into action! An enhanced online co-adaptive brain-computer interface training protocol. in 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2015.7318858

Steyrl, D, Patz, F, Krausz, G, Edlinger, G & Muller-Putz, GR 2015, Reduction of EEG artifacts in simultaneous EEG-fMRI: Reference layer adaptive filtering (RLAF). in 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2015.7319222


Muller-Putz, GR, Steyrl, D & Faller, J 2014, Adaptive hybrid brain-computer interaction: Ask a trainer for assistance! in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. https://doi.org/10.1109/embc.2014.6943884

Bauernfeind, G, Steyrl, D, Brunner, C & Muller-Putz, GR 2014, Single trial classification of fNIRS-based brain-computer interface mental arithmetic data: A comparison between different classifiers. in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. https://doi.org/10.1109/embc.2014.6944008

Bauernfeind, G, Pokorny, C, Steyrl, D, Wriessnegger, S, Pichler, G, Schippinger, W, Noirhomme, Q, Real, RG, Kübler, A, Mattia, D & Müller-Putz, G 2014, Improved Classification of Auditory Evoked Event-Related Potentials. in G Müller-Putz (Hrsg.), Proceedings of the 6th International Brain-Computer Interface Conference 2014: the future of brain-computer interaction: basics, shortcomings, users ; September 16 - 19, 2014, Graz University of Technology, Austria. Verlag der Technischen Universität Graz, Graz. https://doi.org/10.3217/978-3-85125-378-8-62

Steyrl, D, Scherer, R, Förstner, O & Müller-Putz, G 2014, Motor Imagery Brain-Computer Interfaces: Random Forests vs Regularized LDA - Non-linear Beats Linear. in Proceedings of the 6th International Brain-Computer Interface Conference 2014. https://doi.org/10.3217/978-3-85125-378-8-61

Müller-Putz, G, Bauernfeind, G, Brunner, C, Steyrl, D (Hrsg.), Wriessnegger, S & Scherer, R 2014, Proceedings of the 6th International Brain-Computer Interface Conference 2014. Verlag der Technischen Universität Graz. https://doi.org/10.3217/978-3-85125-378-8




Steyrl, D, Scherer, R & Müller-Putz, G 2013, Using random forests for classifying motor imagery EEG. in Proceedings of TOBI Workshop IV.


Introduction to Machine Learning / Deep Learning and its application to social sciences

David Steyrl (VortragendeR)
30 Sep 2019

Aktivität: VorträgeVortragScience to Science


Institut für Psychologische Grundlagenforschung und Forschungsmethoden

Liebiggasse 5
1010 Wien
Zimmer: O3.50

T: +43-1-4277-47123
F: +43-1-4277-847123

david.steyrl@univie.ac.at