David Steyrl
Title
Cited by
Cited by
Year
Random forests in non-invasive sensorimotor rhythm brain-computer interfaces: a practical and convenient non-linear classifier
D Steyrl, R Scherer, J Faller, GR Müller-Putz
Biomedical Engineering/Biomedizinische Technik 61 (1), 77-86, 2016
802016
Short time sports exercise boosts motor imagery patterns: implications of mental practice in rehabilitation programs
SC Wriessnegger, D Steyrl, K Koschutnig, GR Müller-Putz
Frontiers in human neuroscience 8, 469, 2014
422014
Motor Imagery Brain-Computer Interfaces: Random Forests vs Regularized LDA-Non-linear Beats Linear
D Steyrl, R Scherer, O Förstner, GR Müller-Putz
6th International Brain-Computer Interface Conference 2014, 2014
342014
A Co-adaptive Sensory Motor Rhythms Brain-Computer Interface Based on Common Spatial Patterns and Random Forest
A Schwarz, R Scherer, D Steyrl, J Faller, G Müller-Putz
37th Annual International Conference of the IEEE Engineering in Medicine and …, 2015
272015
Single trial classification of fNIRS-based brain-computer interface mental arithmetic data: A comparison between different classifiers
G Bauernfeind, D Steyrl, C Brunner, GR Muller-Putz
36th Annual International Conference of the IEEE Engineering in Medicine and …, 2014
262014
Reference layer adaptive filtering (RLAF) for EEG artifact reduction in simultaneous EEG-fMRI
D Steyrl, G Krausz, K Koschutnig, G Edlinger, GR Müller-Putz
Journal of neural engineering 14 (2), 026003, 2017
242017
Cooperation in mind: motor imagery of joint and single actions is represented in different brain areas
SC Wriessnegger, D Steyrl, K Koschutnig, GR Müller-Putz
Brain and cognition 109, 19-25, 2016
222016
Cybathlon experiences of the Graz BCI racing team Mirage91 in the brain-computer interface discipline
K Statthaler, A Schwarz, D Steyrl, R Kobler, MK Höller, J Brandstetter, ...
Journal of neuroengineering and rehabilitation 14 (1), 1-16, 2017
172017
On similarities and differences of invasive and non-invasive electrical brain signals in brain-computer interfacing
D Steyrl, RJ Kobler, GR Müller-Putz
Journal of Biomedical Science and Engineering 9 (8), 2016
172016
Brain-Computer Interface adaptation for an end user to compete in the Cybathlon
A Schwarz, D Steyrl, GR Müller-Putz
2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC2016 …, 2016
132016
Random forests for feature selection in non-invasive brain-computer interfacing
D Steyrl, R Scherer, GR Müller-Putz
International Workshop on Human-Computer Interaction and Knowledge Discovery …, 2013
112013
Action affordances and visuo-spatial complexity in motor imagery: An fMRI study
L Schulz, A Ischebeck, SC Wriessnegger, D Steyrl, GR Müller-Putz
Brain and cognition 124, 37-46, 2018
92018
Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study
SJ Eder, D Steyrl, MM Stefanczyk, M Pieniak, J Martínez Molina, O Pešout, ...
Plos one 16 (3), e0247997, 2021
82021
Online reduction of artifacts in EEG of simultaneous EEG-fMRI using reference layer adaptive filtering (RLAF)
D Steyrl, G Krausz, K Koschutnig, G Edlinger, GR Müller-Putz
Brain topography 31 (1), 129-149, 2018
62018
Bring mental activity into action! An enhanced online co-adaptive brain-computer interface training protocol
R Scherer, J Faller, E Opisso, U Costa, D Steyrl, G Müller-Putz
37th Annual International Conference of the IEEE Engineering in Medicine and …, 2015
52015
Using random forests for classifying motor imagery EEG
D Steyrl, R Scherer, GR Müller-Putz
Proceedings of the TOBI Workshop IV, 2013
52013
Single trial Motor Imagery classification in EEG measured during fMRI image acquisition-a first glance
D Steyrl, SC Wriessnegger, GR Müller-Putz
Biomed Tech 58, 1, 2013
52013
Artifacts in EEG of simultaneous EEG-fMRI: pulse artifact remainders in the gradient artifact template are a source of artifact residuals after average artifact subtraction
D Steyrl, GR Müller-Putz
Journal of neural engineering 16 (1), 016011, 2018
42018
Reduction of EEG Artifacts in Simultaneous EEG-fMRI: Reference Layer Adaptive Filtering (RLAF)
D Steyrl, F Patz, G Krausz, G Edlinger, G Müller-Putz
37th Annual International Conference of the IEEE Engineering in Medicine and …, 2015
42015
Adaptive hybrid brain-computer interaction: Ask a trainer for assistance!
GR Muller-Putz, D Steyrl, J Faller
36th Annual International Conference of the IEEE Engineering in Medicine and …, 2014
42014
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