Dr. Martin SpĆ¼ler

Eberhard-Karls-UniversitƤt TĆ¼bingen
Wilhelm-Schickard Institut fĆ¼r Informatik
Lehrstuhl Technische Informatik
Sand 14, C203
72076 TĆ¼bingen

Telefon: +49 (7071) 29-70490

E-Mail: spueler

Kontakt-Formular

Research interests

  • Brain-Computer Interface (BCI) in general
    • Error-related potentials (ErrP) for BCI
    • BCI for rehabilitation in stroke
    • adaptive classification in BCI
    • visual evoked potentials
  • Machine learning
  • Analysis of EEG, MEG and ECoG data

Teaching

Neuronal Computing SS 2017 - Slides

Links

Publicly available EEG BCI datasets

Publications

 Alle Publikationen im BibTex-Format

    2017

      2017
      • F. Shiman, E. LĆ³pez-Larraz, A. Sarasola-Sanz, N. Irastorza-Landa, M. SpĆ¼ler, N. Birbaumer and A. Ramos-Murguialday
          Classification of different reaching movements from the same limb using EEG
        Journal of Neural Engineering,
      September 2017
      • T. Krumpe, K. BaumgƤrtner, W. Rosenstiel, M. SpĆ¼ler
           Non-stationarity and inter-subject variability of EEG characteristics in the context of BCI development
        Proceedings of the 7th Graz Brain-Computer Interface Conference, p.260-265
      • 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
      MƤrz 2017
      • G. Dambros, J. Ungewiss, T. KĆ¼bler, E. Kasneci, M. SpĆ¼ler
          Monitoring Response Quality During Campimetry Via Eye-Tracking
        Proceedings of the 22st International Conference on Intelligent User Interfaces, IUI 2017, ACM
      Februar 2017
      • M. SpĆ¼ler
          A high-speed brain-computer interface (BCI) using dry EEG electrodes
        Plos One, 12 (2), p.e0172400
      • J. Peter, W. Klingert, M. SpĆ¼ler, A. Kƶnigsrainer, W. Rosenstiel, M. Schenk
         Automated Therapeutic Anticoagulation: A Closed-Loop Approach Using a Modified Measurement Device
        Proceeding of the International Conference on Biomedical Engineering (BIOMED) , ACTA Press, IASTED
      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
      • M. SpĆ¼ler, T. Krumpe, C. Walter, C. Scharinger, W. Rosenstiel, P. Gerjets
         Brain-computer interfaces for educational applications
        Informational Environments : Effects of Use, Effective Designs, , p.177ā€“201
      • S. Grissmann, M. SpĆ¼ler, J. Faller, T. Krumpe, T. Zander, A. Kelava, C. Scharinger, P. Gerjets
          Context sensitivity of eeg-based workload classification under different affective valence
        IEEE Transactions on Affective Computing,

      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
              • M. SpĆ¼ler
                  Assessing the Benefit of Adaptive Brain-Computer Interfacing
                Verlag Dr. Hut, ISBN: 978-3-8439-1059-0
              • 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

                  2010

                    Februar 2010
                    • M. SpĆ¼ler
                        Online Erkennung von Fehlerpotentialen zur Fehlerkorrektur bei einem P300 Brain-Computer Interface
                      UniversitƤt TĆ¼bingen