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Martin Spüler
Martin Spüler
Bruker
Verified email at bruker.com
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Cited by
Cited by
Year
Online adaptation of a c-VEP brain-computer interface (BCI) based on error-related potentials and unsupervised learning
M Spüler, W Rosenstiel, M Bogdan
PloS one 7 (12), e51077, 2012
2102012
Error-related potentials during continuous feedback: using EEG to detect errors of different type and severity
M Spüler, C Niethammer
Frontiers in human neuroscience 9, 155, 2015
1782015
Online use of error-related potentials in healthy users and people with severe motor impairment increases performance of a P300-BCI
M Spüler, M Bensch, S Kleih, W Rosenstiel, M Bogdan, A Kübler
Clinical Neurophysiology 123 (7), 1328-1337, 2012
1772012
Coupling brain-machine interfaces with cortical stimulation for brain-state dependent stimulation: enhancing motor cortex excitability for neurorehabilitation
A Gharabaghi, D Kraus, MT Leăo, M Spüler, A Walter, M Bogdan, ...
Frontiers in Human Neuroscience 8, 122, 2014
1412014
A high-speed brain-computer interface (BCI) using dry EEG electrodes
M Spüler
PloS one 12 (2), e0172400, 2017
1152017
Spatial Filtering Based on Canonical Correlation Analysis for Classification of Evoked or Event-Related Potentials in EEG Data
M Spüler, A Walter, W Rosenstiel, M Bogdan
Transactions on Neural Systems and Rehabilitation Engineering 22 (6), 1097 …, 2014
952014
Hybrid neuroprosthesis for the upper limb: combining brain-controlled neuromuscular stimulation with a multi-joint arm exoskeleton
F Grimm, A Walter, M Spüler, G Naros, W Rosenstiel, A Gharabaghi
Frontiers in neuroscience 10, 367, 2016
832016
Electroencephalography based analysis of working memory load and affective valence in an n-back task with emotional stimuli
S Grissmann, J Faller, C Scharinger, M Spüler, P Gerjets
Frontiers in human neuroscience 11, 616, 2017
792017
World’s fastest brain-computer interface: combining EEG2Code with deep learning
S Nagel, M Spüler
PloS one 14 (9), e0221909, 2019
762019
EEG-based prediction of cognitive workload induced by arithmetic: a step towards online adaptation in numerical learning
M Spüler, C Walter, W Rosenstiel, P Gerjets, K Moeller, E Klein
Zdm 48, 267-278, 2016
762016
Coupling BCI and cortical stimulation for brain-state-dependent stimulation: methods for spectral estimation in the presence of stimulation after-effects
A Walter, AR Murguialday, M Spüler, G Naros, MT Leăo, A Gharabaghi, ...
Frontiers in Neural Circuits 6, 2012
712012
Classification of different reaching movements from the same limb using EEG
F Shiman, E López-Larraz, A Sarasola-Sanz, N Irastorza-Landa, M Spüler, ...
Journal of neural engineering 14 (4), 046018, 2017
702017
Asynchronous non-invasive high-speed BCI speller with robust non-control state detection
S Nagel, M Spüler
Scientific reports 9 (1), 8269, 2019
652019
Online EEG-based workload adaptation of an arithmetic learning environment
C Walter, W Rosenstiel, M Bogdan, P Gerjets, M Spüler
Frontiers in human neuroscience 11, 286, 2017
652017
Decoding of motor intentions from epidural ECoG recordings in severely paralyzed chronic stroke patients
M Spüler, A Walter, A Ramos-Murguialday, G Naros, N Birbaumer, ...
Journal of neural engineering 11 (6), 066008, 2014
652014
Comparing metrics to evaluate performance of regression methods for decoding of neural signals
M Spüler, A Sarasola-Sanz, N Birbaumer, W Rosenstiel, ...
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
532015
Brain-computer interfaces for educational applications
M Spüler, T Krumpe, C Walter, C Scharinger, W Rosenstiel, P Gerjets
Informational environments: Effects of use, effective designs, 177-201, 2017
452017
Adaptive SVM-based classification increases performance of a MEG-based Brain-Computer Interface (BCI)
M Spüler, W Rosenstiel, M Bogdan
Artificial Neural Networks and Machine Learning–ICANN 2012: 22nd …, 2012
422012
EEG responses to auditory stimuli for automatic affect recognition
DT Hettich, E Bolinger, T Matuz, N Birbaumer, W Rosenstiel, M Spüler
Frontiers in neuroscience 10, 244, 2016
402016
Modelling the brain response to arbitrary visual stimulation patterns for a flexible high-speed brain-computer interface
S Nagel, M Spüler
PloS one 13 (10), e0206107, 2018
372018
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