| 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 | 207 | 2012 |
| 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 | 177 | 2012 |
| 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 | 176 | 2015 |
| 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 | 141 | 2014 |
| A high-speed brain-computer interface (BCI) using dry EEG electrodes M Spüler PloS one 12 (2), e0172400, 2017 | 114 | 2017 |
| 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 | 93 | 2014 |
| 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 | 83 | 2016 |
| 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 | 76 | 2017 |
| World’s fastest brain-computer interface: combining EEG2Code with deep learning S Nagel, M Spüler PloS one 14 (9), e0221909, 2019 | 74 | 2019 |
| 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 | 74 | 2016 |
| 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 | 71 | 2012 |
| 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 | 69 | 2017 |
| 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 | 65 | 2014 |
| Asynchronous non-invasive high-speed BCI speller with robust non-control state detection S Nagel, M Spüler Scientific reports 9 (1), 8269, 2019 | 63 | 2019 |
| 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 | 63 | 2017 |
| 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 | 48 | 2015 |
| 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 | 45 | 2017 |
| 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 | 42 | 2012 |
| 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 | 39 | 2016 |
| 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 | 36 | 2018 |
