Publikationen

 Alle Publikationen im BibTex-Format

    2019

      September 2019
      • S. Nagel, M. SpĆ¼ler
          Worldā€™s fastest brain-computer interface: Combining EEG2Code with deep learning
        PLOS ONE, 14 (9), p.e0221909
      Juni 2019
      • S. Nagel, M. SpĆ¼ler
          Asynchronous non-invasive high-speed BCI speller with robust non-control state detection
        Scientific Reports, 9 (1), p.8269

      2018

        Oktober 2018
        • S. Nagel, M. SpĆ¼ler
            Modelling the brain response to arbitrary visual stimulation patterns for a flexible high-speed Brain-Computer Interface
          PLoS one, 13 (10), p.e0206107

        2017

          September 2017
          • S. Nagel, W. Rosenstiel, M. SpĆ¼ler
                 Random Visual Evoked Pontentials (RVEP) for Brain-Computer Interface (BCI) Control
            Proceedings of the 7th Graz Brain-Computer Interface Conference 2017, p.349-354, Verlag der TU Graz
          • M. SpĆ¼ler
              Spatial Filtering of EEG as a Regression Problem
            7th Graz Brain-Computer Interface Conference
          Mai 2017
          • C. Walter, W. Rosenstiel, M. Bogdan, P. Gerjets, M. SpĆ¼ler
              Online EEG-Based Workload Adaptation of an Arithmetic Learning Environment
            Frontiers in Human Neuroscience, 11, p.286
          Februar 2017
          • M. SpĆ¼ler
              A high-speed brain-computer interface (BCI) using dry EEG electrodes
            Plos One, 12 (2), p.e0172400
          Publikationen ohne Monatsangabe 2017
          • A. Sarasola-Sanz, E. LĆ³pez-Larraz, N. Irastorza-Landa, J. Klein, D. Valencia, A. Belloso, F. O. Morin, M. SpĆ¼ler, N. Birbaumer, A. Ramos-Murguialday
              An EEG-Based Brain-Machine Interface to Control a 7-Degrees of Freedom Exoskeleton for Stroke Rehabilitation
            Converging Clinical and Engineering Research on Neurorehabilitation II, p.1127-1131

          2016

            September 2016
            • M. SpĆ¼ler, N. Irastorza Landa, A. Sarasola Sanz, A. Ramos-Murguialday
                Extracting Muscle Synergy Patterns from EMG Data Using Autoencoders
              Artificial Neural Networks and Machine Learning ā€“ ICANN 2016, p.47-54
            Juli 2016
            • F. Grimm, A. Walter, M. SpĆ¼ler, G. Naros, W. Rosenstiel, A. Gharbaghi
                Hybrid neuroprosthesis for the upper limb: combining brain-controlled neuromuscular stimulation with a multi-joint arm exoskeleton
              Frontiers in Neuroscience, 10 (367)
            Juni 2016
            • T. Krumpe, C. Walter, W. Rosenstiel, M. SpĆ¼ler
                Asynchronous P300 classification in a reactive brain-computer interface during an outlier detection task
              Journal of Neural Engineering, 13 (4), p.046015
            • T. Krumpe, C. Scharinger, P. Gerjets, W. Rosenstiel, M. SpĆ¼ler
                Disentangeling working memory load - finding inhibition and updating components in EEG data
              Proceedings of the 6th International Brain-Computer Interface Meeting, p.174
            • M. SpĆ¼ler, C. Walter, W. Rosenstiel, P. Gerjets, K. Moeller, E. Klein
                EEG-based prediction of cognitive workload induced by arithmetic: a step towards online adaptation in numerical learning
              ZDM Mathematics Education, 48 (3), p.267-278
            Mai 2016
            • D. Hettich, E. Bolinger, T. Matuz, N. Birbaumer, W. Rosenstiel, M. SpĆ¼ler
                EEG Responses to Auditory Stimuli for Automatic Affect Recognition
              Frontiers in Neuroscience, 10 (244)
            Publikationen ohne Monatsangabe 2016
            • M. SpĆ¼ler, F. Grimm, A. Gharabaghi, M. Bogdan, W. Rosenstiel
                 Comparing Methods for Decoding Movement Trajectory from ECoG in Chronic Stroke Patients
              Advances in Neurotechnology, Electronics and Informatics, 12, p.125-139

            2015

              August 2015
              • M. SpĆ¼ler
                  A Brain-Computer Interface (BCI) system to use Arbitrary Windows applications by directly controlling mouse and keyboard
                In Proceedings of 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBCā€™15), p.1087-1090
              • M. SpĆ¼ler, A. Sarasola-Sanz, N. Birbaumer, W. Rosenstiel, A. Ramos-Murguialday
                  Comparing Metrics to Evaluate Performance of Regression Methods for Decoding of Neural Signals
                Proceedings of 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBCā€™15), p.1083-1086
              • A. Sarasola-Sanz, N. Irastorza-Landa, F. Shiman, E. Lopez-Larraz, M. SpĆ¼ler, N. Birbaumer, A. Ramos-Murguialday
                  EMG-based multi-joint kinematics decoding for robot-aided rehabilitation therapies
                IEEE International Conference on Rehabilitation Robotics (ICORR), p.229-234
              • F. Shiman, N. Irastorza-Landa, A. Sarasola-Sanz, M. SpĆ¼ler, N.Birbaumer, A. Ramos-Murguialday
                 Towards Decoding of Functional Movements from the Same Limb using EEG
                Proceedings of 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'15), p.1922-1925
              Juli 2015
              • M. SpĆ¼ler, S. Nagel, W. Rosenstiel
                  A Spiking Neuronal Model Learning a Motor Control Task by Reinforcement Learning and Structural Synaptic Plasticity
                Proceedings of the 2015 Internation Joint Conference on Neuronal Networks, p.1652-1659
              Publikationen ohne Monatsangabe 2015
              • M. SpĆ¼ler, C. Niethammer
                  Error-related potentials during continuous feedback: using EEG to detect errors of different type and severity
                Frontiers in Human Neuroscience, 9 (155), p.doi: 10.3389/fnhum.2015.00155

              2014

                Dezember 2014
                • M. SpĆ¼ler, A. Walter, A. Ramos-Murguialday, G. Naros, N. Birbaumer, A. Gharabaghi, W. Rosenstiel, M. Bogdan
                    Decoding of motor intentions from epidural ECoG recordings in severely paralyzed chronic stroke patients
                  Journal of Neural Engineering, 11 (6)
                • A. Gharabaghi, G. Naros, F. Khademi, J. Jesser, M. SpĆ¼ler, A. Walter, M. Bogdan, W. Rosenstiel, N. Birbaumer
                    Learned self-regulation of the lesioned brain with epidural electrocorticography
                  Frontiers in Behavioral Neuroscience, 8, p.429
                November 2014
                • M. SpĆ¼ler, A. Walter, W. Rosenstiel, M. Bogdan
                    Spatial Filtering Based on Canonical Correlation Analysis for Classification of Evoked or Event-Related Potentials in EEG Data
                  IEEE Transactions on Neural Systems and Rehabilitation Engineering, 22 (6), p.1097 - 1103
                Oktober 2014
                • M. SpĆ¼ler, W. Rosenstiel, M. Bogdan
                     Predicting Wrist Movement Trajectory from Ipsilesional ECoG in Chronic Stroke Patients
                  Proceedings of 2nd International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX 2014) , p.38-45
                September 2014
                • M. SpĆ¼ler, C. Niethammer, W. Rosenstiel, M. Bogdan
                     Classification of error-related potentials in EEG during continuous feedback
                  Proceedings of the 6th International Brain-Computer Interface Conference
                • C.Walter, P. Wolter, W. Rosenstiel, M. Bogdan, M. SpĆ¼ler
                     Towards Cross-Subject Workload Prediction.
                  Proceedings of the 6th International Brain-Computer Interface Conference , Graz, Austria
                Juli 2014
                • M. SpĆ¼ler, W. Rosenstiel, M. Bogdan
                    Using Coherence for Robust Online Brain-Computer Interface (BCI) Control
                  Nonlinear Dynamics of Electronic Systems, p.363-370
                Publikationen ohne Monatsangabe 2014
                • A. Gharabaghi, D. Kraus, M. Leao, M. SpĆ¼ler, A. Walter, M. Bogdan, W. Rosenstiel, G. Naros, U. Ziemann
                    Coupling brain-machine interfaces with cortical stimulation for brain-state dependent stimulation: enhancing motor cortex excitability for neurorehabilitation
                  Frontiers in Human Neuroscience, 8 (122)
                • A. Walter, G. Naros, M. SpĆ¼ler, A. Gharabaghi, W. Rosenstiel, M. Bogdan
                    Decoding stimulation intensity from evoked ECoG activity
                  Neurocomputing, Vol.141(1), p.46-53

                2013

                  September 2013
                  • A. Walter G. Naros M. SpĆ¼ler W. Rosenstiel A. Gharabaghi M. Bogdan
                     Dynamics of a Stimulation-evoked ECoG Potential During Stroke Rehabilitation - A Case Study
                    NEUROTECHNIX 2013 - International Congress on Neurotechnology, Electronics and Informatics, p.241-243
                  • M. SpĆ¼ler, W. Rosenstiel, M. Bogdan
                      Unsupervised Online Calibration of a c-VEP Brain-Computer Interface (BCI)
                    Artificial Neural Networks and Machine Learning-ICANN 2013, Lecture Notes in Computer Science Vol. 8131, p.224-231, Springer
                  Juni 2013
                  • M. SpĆ¼ler, W. Rosenstiel, M. Bogdan
                       Unsupervised BCI calibration as possibility for communication in CLIS patients?
                    Proceedings of the Fifth International Brain-Computer Interface Meeting 2013, DOI:10.3217/978-3-85125-260-6-122
                  Publikationen ohne Monatsangabe 2013
                  • A. Walter, G. Naros, M. SpĆ¼ler, A. Gharabaghi, W. Rosenstiel, M. Bogdan
                     Decoding stimulation intensity from evoked ECoG activity using support vector regression
                    Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

                  2012

                    2012
                    • M. SpĆ¼ler, W. Rosenstiel, M. Bogdan
                         Principal component based covariate shift adaption to reduce non-stationarity in a MEG-based brain-computer interface
                      EURASIP Journal on Advances in Signal Processing, 2012:129
                    Dezember 2012
                    • M. SpĆ¼ler, W. Rosenstiel, M. Bogdan
                        Online Adaptation of a c-VEP Brain-Computer Interface(BCI) Based on Error-Related Potentials and Unsupervised Learning
                      PLoS ONE, 7 (12), p.e51077
                    Oktober 2012
                    • A. Walter, A. Ramos Murguialday, M. SpĆ¼ler, G. Naros, M. T. Leao, A. Gharabaghi, W. Rosenstiel, N. Birbaumer, M. Bogdan
                       Coupling BCI and cortical stimulation for brain-state-dependent stimulation: Methods for spectral estimation in the presence of stimulation after-effects
                      Frontiers in Neural Circuits, doi: 10.3389/fncir.2012.00087
                    September 2012
                    • M. SpĆ¼ler, W. Rosenstiel, M. Bogdan
                        Adaptive SVM-based classi fication increases performance of a MEG-based Brain-Computer Interface (BCI)
                      ICANN 2012, Part I, LNCS 7552, p.669-676
                    Juli 2012
                    • M. SpĆ¼ler, W. Rosenstiel, M. Bogdan
                        Co-adaptivity in Unsupervised Adaptive Brain-Computer Interfacing: a Simulation Approach
                      The Fourth International Conference on Advanced Cognitive Technologies and Applications, p.115-121
                    • M. SpĆ¼ler, M. Bensch, S. Kleih, W. Rosenstiel, M. Bogdan, A. KĆ¼bler
                         Online use of error-related potentials in healthy users and people with severe motor impairment increases performance of a P300-BCI
                      Clinical Neurophysiology, 123 (7), p.1328ā€“1337
                    April 2012
                    • M. SpĆ¼ler, W. Rosenstiel, M. Bogdan
                        One Class SVM and Canonical Correlation Analysis increase performance in a c-VEP based Brain-Computer Interface (BCI)
                      Proceedings of 20th European Symposium on Artificial Neural Networks (ESANN 2012), p.103-108, Bruges, Belgium

                    2011

                      September 2011
                      • M. SpĆ¼ler, W. Rosenstiel, M. Bogdan
                          A Fast Feature Selection Method for High-Dimensional MEG BCI Data
                        Proceedings of the 5th International Brain-Computer Interface Conference, p.24-27, Graz
                      • S. Halder, M. SpĆ¼ler, E. Hammer, S. Kleih, M. Bogdan, W. Rosenstiel, A. KĆ¼bler, N. Birbaumer
                          Prediction of Visual P300 BCI Aptitude Using Spectral Features
                        Proceedings of the 5th International Brain-Computer Interface Conference, p.144-147, Graz