Martin Spüler
Orcid: 0000-0002-7781-8009Affiliations:
- Eberhard Karls University of Tübingen, Department of Computer Science (PhD 2013)
According to our database1,
Martin Spüler
authored at least 22 papers
between 2012 and 2020.
Collaborative distances:
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Bibliography
2020
Context Sensitivity of EEG-Based Workload Classification Under Different Affective Valence.
IEEE Trans. Affect. Comput., 2020
2019
Fully Automated R-peak Detection Algorithm (FLORA) for fetal magnetoencephalographic data.
Comput. Methods Programs Biomed., 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019
2017
Proceedings of the Companion Publication of the 22nd International Conference on Intelligent User Interfaces, 2017
Proceedings of the From Vision to Reality, 2017
Proceedings of the From Vision to Reality, 2017
Non-stationarity and Inter-subject variability of EEG characteristics in the Context of BCI Development.
Proceedings of the From Vision to Reality, 2017
2016
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016
2015
A spiking neuronal model learning a motor control task by reinforcement learning and structural synaptic plasticity.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Comparing metrics to evaluate performance of regression methods for decoding of neural signals.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
A Brain-Computer Interface (BCI) system to use arbitrary Windows applications by directly controlling mouse and keyboard.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Predicting Wrist Movement Trajectory from Ipsilesional ECoG in Chronic Stroke Patients.
Proceedings of the 2nd International Congress on Neurotechnology, 2014
2013
Dynamics of a Stimulation-evoked ECoG Potential During Stroke Rehabilitation - A Case Study.
Proceedings of the International Congress on Neurotechnology, Electronics and Informatics, 2013
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
Decoding stimulation intensity from evoked ECoG activity using support vector regression.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
2012
Principal component based covariate shift adaption to reduce non-stationarity in a MEG-based brain-computer interface.
EURASIP J. Adv. Signal Process., 2012
Adaptive SVM-Based Classification Increases Performance of a MEG-Based Brain-Computer Interface (BCI).
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
One Class SVM and Canonical Correlation Analysis increase performance in a c-VEP based Brain-Computer Interface (BCI).
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012