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Andreas Meinel
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2010 – 2019
- 2019
- [b1]Andreas Meinel:
Machine learning methods for brain state-dependent motor rehabilitation after stroke. University of Freiburg, Germany, 2019 - [j2]Sebastián Castaño-Candamil
, Andreas Meinel
Post-hoc Labeling of Arbitrary M/EEG Recordings for Data-Efficient Evaluation of Neural Decoding Methods. Frontiers Neuroinformatics 13: 55 (2019) - [j1]Andreas Meinel
Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression Problems - Guidelines Derived from Simulation and Real-World Data. Neuroinformatics 17(2): 235-251 (2019) - 2018
- [i2]Andreas Meinel, Henrich Kolkhorst, Michael Tangermann:
Method to assess the functional role of noisy brain signals by mining envelope dynamics. CoRR abs/1804.10454 (2018) - 2017
- [c4]Andreas Meinel, Fabien Lotte, Michael Tangermann:
Tikhonov Regularization enhances EEG-based Spatial filtering for single-Trial Regression. GBCIC 2017 - [i1]Sebastián Castaño-Candamil, Andreas Meinel, Michael Tangermann:
Post-hoc labeling of arbitrary EEG recordings for data-efficient evaluation of neural decoding methods. CoRR abs/1711.08208 (2017) - 2015
- [c3]Sebastián Castaño-Candamil
Probing meaningfulness of oscillatory EEG components with bootstrapping, label noise and reduced training sets. EMBC 2015: 5159-5162 - [c2]Andreas Meinel, Juan Sebastián Castaño-Candamil
EEG band power predicts single-trial reaction time in a hand motor task. NER 2015: 182-185 - [c1]Michael Tangermann, Janine Reis, Andreas Meinel:
Commonalities of Motor Performance Metrics are Revealed by Predictive Oscillatory EEG Components. NEUROTECHNIX 2015: 32-38
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