Data-Driven NeuroTechnology lab
Data-Driven NeuroTechnology lab
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Challenging the assumption that auditory event-related potentials are independent and identically distributed
David Hübner
,
Michael Tangermann
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DOI
Closed-Loop Deep Brain Stimulation System for an Animal Model of Parkinson's Disease: A Pilot Study
Sebastián Castaño-Candamil
,
Soheil Mottaghi
,
Volker A. Coenen
,
Ulrich G. Hofmann
,
Michael Tangermann
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DOI
Decoding Perceived Hazardousness from User's Brain States to Shape Human-Robot Interaction
Henrich Kolkhorst
,
Michael Tangermann
,
Wolfram Burgard
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DOI
URL
Designing and Understanding Convolutional Networks for Decoding Executed Movements from EEG
Robin Tibor Schirrmeister
,
Lukas Dominique Josef Fiederer
,
Jost Tobias Springenberg
,
Martin Glasstetter
,
Katharina Eggensperger
,
Michael Tangermann
,
Frank Hutter
,
Wolfram Burgard
,
Tonio Ball
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Improving learning from label proportions by reducing the feature dimensionality
David Hübner
,
Pieter-Jan Kindermans
,
Thibault Verhoeven
,
Michael Tangermann
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DOI
Informative Oscillatory EEG Components and their Persistence in Time and Frequency
Michael Tangermann
,
Andreas Meinel
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Learning from Label Proportions in BCI -- a Symbiotic Design for Stimulus Preservation and Signal Decoding
David Hübner
,
Thibault Verhoeven
,
Konstantin Schmid
,
Klaus-Robert Müller
,
Michael Tangermann
,
Pieter-Jan Kindermans
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Mixing two unsupervised estimators for event-related potential decoding: An online evaluation
David Hübner
,
Thibault Verhoeven
,
Pieter-Jan Kindermans
,
Michael Tangermann
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DOI
Subspace Decomposition in the Frequency Domain
Sebastián Castaño-Candamil
,
Michael Tangermann
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DOI
Time-Frequency Sensitivity Characterization of Single-Trial Oscillatory EEG Components
Andreas Meinel
,
Thorsten Koller
,
Michael Tangermann
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