| Measuring local viscosities near plasma membranes of living cells with photonic force microscopy F Jünger, F Kohler, A Meinel, T Meyer, R Nitschke, B Erhard, A Rohrbach Biophysical journal 109 (5), 869-882, 2015 | 42 | 2015 |
| Pre-trial EEG-based single-trial motor performance prediction to enhance neuroergonomics for a hand force task A Meinel, S Castaño-Candamil, J Reis, M Tangermann Frontiers in Human Neuroscience 10, 170, 2016 | 34 | 2016 |
| Induced phagocytic particle uptake into a giant unilamellar vesicle A Meinel, B Tränkle, W Römer, A Rohrbach Soft matter 10 (20), 3667-3678, 2014 | 29 | 2014 |
| Characterizing regularization techniques for spatial filter optimization in oscillatory eeg regression problems: Guidelines derived from simulation and real-world data A Meinel, S Castaño-Candamil, B Blankertz, F Lotte, M Tangermann Neuroinformatics 17, 235-251, 2019 | 20 | 2019 |
| EEG band power predicts single-trial reaction time in a hand motor task A Meinel, JS Castano-Candamil, S Dähne, J Reis, M Tangermann 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), 182-185, 2015 | 17 | 2015 |
| Probing meaningfulness of oscillatory EEG components with bootstrapping, label noise and reduced training sets S Castaño-Candamil, A Meinel, S Dähne, M Tangermann 2015 37th Annual international conference of the IEEE engineering in …, 2015 | 8 | 2015 |
| Tikhonov Regularization Enhances EEG-based Spatial Filtering for Single Trial Regression A Meinel, F Lotte, M Tangermann Proceedings of the 7th Graz Brain-Computer Interface Conference 2017, 308 - 313, 2017 | 6 | 2017 |
| Post-hoc Labeling of Arbitrary M/EEG Recordings for Data-Efficient Evaluation of Neural Decoding Methods S Castaño-Candamil, A Meinel, M Tangermann Frontiers in neuroinformatics 13, 55, 2019 | 5 | 2019 |
| Commonalities of Motor Performance Metrics are Revealed by Predictive Oscillatory EEG Components. M Tangermann, J Reis, A Meinel NEUROTECHNIX, 32-38, 2015 | 4 | 2015 |
| P186. correlates to influence user performance in a hand motor rehabilitation task S Castaño-Candamil, A Meinel, J Reis, M Tangermann Clinical Neurophysiology 126 (8), e166-e167, 2015 | 3 | 2015 |
| Manipulating single-trial motor performance in chronic stroke patients by closed-loop brain state interaction A Meinel, J Sosulski, S Schraivogel, J Reis, M Tangermann IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 1806-1816, 2021 | 1 | 2021 |
| Mining within-trial oscillatory brain dynamics to address the variability of optimized spatial filters A Meinel, H Kolkhorst, M Tangermann IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (3 …, 2019 | 1 | 2019 |
| Hyperparameter optimization for machine learning problems in BCI A Meinel, K Eggensperger, M Tangermann, F Hutter Proceedings of the 6th International Brain-Computer Interface Meeting: BCI …, 2016 | 1 | 2016 |
| Machine learning methods for brain state-dependent motor rehabilitation after stroke A Meinel Dissertation, Universität Freiburg, 2019, 2019 | | 2019 |
| Method to assess the functional role of noisy brain signals by mining envelope dynamics. A Meinel, H Kolkhorst, M Tangermann arXiv preprint arXiv:1804.10454, 2018 | | 2018 |
| TIME-FREQUENCY SENSITIVITY CHARACTERIZATION OF SINGLE-TRIAL OSCILLATORY EEG COMPONENTS A Meinel, T Koller, M Tangermann The First Biannual Neuroadaptive Technology Conference, 36, 2017 | | 2017 |
| Informative Oscillatory EEG Components and their Persistence in Time and Frequency M Tangermann, A Meinel | | 2017 |
| Supporting information to F Jünger, F Kohler, A Meinel, T Meyer, R Nitschke, B Erhard, A Rohrbach | | |
Michael TangermannDonders Insitute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands, and在 donders.ru.nl 的电子邮件经过验证
