Data-Driven NeuroTechnology lab
Data-Driven NeuroTechnology lab
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Predicting Single-Trial Motor Performance from Oscillatory EEG in Chronic Stroke Patients
Andreas Meinel
,
Eva Maria Schlichtmann
,
Torsten Koller
,
Janine Reis
,
Michael Tangermann
Cite
DOI
Relevant Frequency Estimation in EEG Recordings for Source Power Co-Modulation
Sebastián Castaño-Candamil
,
Sven Dähne
,
Michael Tangermann
Cite
DOI
EEG Band Power Predicts Single-Trial Reaction Time in a Hand Motor Task
Andreas Meinel
,
Juan Sebastián Castaño-Candamil
,
Sven Dähne
,
Janine Reis
,
Michael Tangermann
Cite
DOI
Towards Improvement of MI-BCI Performance of Subjects with BCI Deficiency
Atieh Bamdadian
,
Cuntai Guan
,
Kai Keng Ang
,
Jianxin Xu
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DOI
Commonalities of Motor Performance Metrics are Revealed by Predictive Oscillatory EEG Components
Michael Tangermann
,
Janine Reis
,
Andreas Meinel
Cite
DOI
Improving our understanding of transfer-learning in ERP based BCI
Pieter-Jan Kindermans
,
Michael Tangermann
,
Martijn Schreuder
,
Mikio Braun
,
Klaus-Robert Müller
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On the Influence of High-Pass Filtering on ICA-Based Artifact Reduction in EEG-ERP
Irene Winkler
,
Stefan Debener
,
Klaus-Robert Müller
,
Michael Tangermann
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P186. Correlates to influence user performance in a hand motor rehabilitation task
Sebastián Castaño-Candamil
,
Andreas Meinel
,
Janine Reis
,
Michael Tangermann
Cite
DOI
URL
Probing Meaningfulness of Oscillatory EEG Components with Bootstrapping, Label Noise and Reduced Training Sets
Juan Sebastián Castaño-Candamil
,
Andreas Meinel
,
Sven Dähne
,
Michael Tangermann
Cite
P374: Detecting spatial auditory attention in cocktail-party situations
Michael Tangermann
,
Katja Müller
,
Aleke Nolte
,
Julia Schumacher
,
Paul Zhutovsky
,
Benjamin Blankertz
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DOI
URL
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