One Class SVM and Canonical Correlation Analysis increase performance in a c-VEP based Brain-Computer Interface (BCI). - Martin Spüler; Wolfgang Rosenstiel; Martin Bogdan (ESANN, 2012)

Adaptive SVM-Based Classification Increases Performance of a MEG-Based Brain-Computer Interface (BCI). - Martin Spüler; Wolfgang Rosenstiel; Martin Bogdan (ICANN (1), 2012)

Principal component based covariate shift adaption to reduce non-stationarity in a MEG-based brain-computer interface. - Martin Spüler; Wolfgang Rosenstiel; Martin Bogdan (EURASIP J. Adv. Signal Process., 2012)

Decoding stimulation intensity from evoked ECoG activity using support vector regression. - Armin Walter; Georgios Naros; Martin Spüler; Alireza Gharabaghi; Wolfgang Rosenstiel; Martin Bogdan (ESANN, 2013)

Unsupervised Online Calibration of a c-VEP Brain-Computer Interface (BCI). - Martin Spüler; Wolfgang Rosenstiel; Martin Bogdan (ICANN, 2013)

Dynamics of a Stimulation-evoked ECoG Potential During Stroke Rehabilitation - A Case Study. - Armin Walter; Georgios Naros; Martin Spüler; Wolfgang Rosenstiel; Alireza Gharabaghi; Martin Bogdan (NEUROTECHNIX, 2013)

Assessing the Benefit of Adaptive Brain-Computer Interfacing. - Martin Spüler (Verlag Dr. Hut, 2013)

Predicting Wrist Movement Trajectory from Ipsilesional ECoG in Chronic Stroke Patients. - Martin Spüler; Wolfgang Rosenstiel; Martin Bogdan (NEUROTECHNIX, 2014)

Decoding stimulation intensity from evoked ECoG activity. - Armin Walter; Georgios Naros; Martin Spüler; Alireza Gharabaghi; Wolfgang Rosenstiel; Martin Bogdan (Neurocomputing, 2014)

Towards decoding of functional movements from the same limb using EEG. - Farid Shiman; Nerea Irastorza-Landa; Andrea Sarasola-Sanz; Martin Spüler; Niels Birbaumer; Ander Ramos-Murguialday (EMBC, 2015)

A Brain-Computer Interface (BCI) system to use arbitrary Windows applications by directly controlling mouse and keyboard. - Martin Spüler (EMBC, 2015)

Comparing metrics to evaluate performance of regression methods for decoding of neural signals. - Martin Spüler; Andrea Sarasola-Sanz; Niels Birbaumer; Wolfgang Rosenstiel; Ander Ramos-Murguialday (EMBC, 2015)

A spiking neuronal model learning a motor control task by reinforcement learning and structural synaptic plasticity. - Martin Spüler; Sebastian Nagel 001; Wolfgang Rosenstiel (IJCNN, 2015)

Extracting Muscle Synergy Patterns from EMG Data Using Autoencoders. - Martin Spüler; Nerea Irastorza-Landa; Andrea Sarasola-Sanz; Ander Ramos-Murguialday (ICANN (2), 2016)

Non-stationarity and Inter-subject variability of EEG characteristics in the Context of BCI Development. - Tanja Krumpe; Katrin Baumgaertner; Wolfgang Rosenstiel; Martin Spüler (GBCIC, 2017)

Random Visual evoked potentials (Rvep) for brain-Computer Interface (BCI) control. - Sebastian Nagel 001; Wolfgang Rosenstiel; Martin Spüler (GBCIC, 2017)

Spatial filtering of EEG as a Regression Problem. - Martin Spüler (GBCIC, 2017)

Monitoring Response Quality During Campimetry Via Eye-Tracking. - Gustavo Vergani Dambros; Judith Ungewiss; Thomas C. Kübler; Enkelejda Kasneci; Martin Spüler (IUI Companion, 2017)

Prediction of item familiarity based on ERPs. - Tanja Krumpe; Wolfgang Rosenstiel; Martin Spüler (BCI, 2019)

Fully Automated Subtraction of Heart Activity for Fetal Magnetoencephalography Data. - Katrin Sippel; Julia Moser; Franziska Schleger; Diana I. Escalona-Vargas; Hubert Preissl; Wolfgang Rosenstiel; Martin Spüler (EMBC, 2019)

Fully Automated R-peak Detection Algorithm (FLORA) for fetal magnetoencephalographic data. - Katrin Sippel; Julia Moser; Franziska Schleger; Hubert Preissl; Wolfgang Rosenstiel; Martin Spüler (Comput. Methods Programs Biomed., 2019)

Context Sensitivity of EEG-Based Workload Classification Under Different Affective Valence. - Sebastian Grissmann; Martin Spüler; Josef Faller; Tanja Krumpe; Thorsten O. Zander; Augustin Kelava; Christian Scharinger; Peter Gerjets (IEEE Trans. Affect. Comput., 2020)