Andreas Meinel
Orcid: 0000-0002-7737-7012
According to our database1,
Andreas Meinel
authored at least 9 papers
between 2015 and 2019.
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Bibliography
2019
PhD thesis, 2019
Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression Problems - Guidelines Derived from Simulation and Real-World Data.
Neuroinformatics, 2019
Post-hoc Labeling of Arbitrary M/EEG Recordings for Data-Efficient Evaluation of Neural Decoding Methods.
Frontiers Neuroinformatics, 2019
2018
Method to assess the functional role of noisy brain signals by mining envelope dynamics.
CoRR, 2018
2017
Post-hoc labeling of arbitrary EEG recordings for data-efficient evaluation of neural decoding methods.
CoRR, 2017
Tikhonov Regularization enhances EEG-based Spatial filtering for single-Trial Regression.
Proceedings of the From Vision to Reality, 2017
2015
Commonalities of Motor Performance Metrics are Revealed by Predictive Oscillatory EEG Components.
Proceedings of the 3rd International Congress on Neurotechnology, 2015
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Probing meaningfulness of oscillatory EEG components with bootstrapping, label noise and reduced training sets.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015