Data-Driven NeuroTechnology lab
Data-Driven NeuroTechnology lab
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Project dareplane for closed-loop deep brain stimulation
Matthias Dold
,
Joana Pereira
,
Mark Janssen
,
Michael Tangermann
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DOI
URL
Embedding Neurophysiological Signals
Pierre Guetschel
,
Thoedore Papadopoulo
,
Michael Tangermann
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DOI
URL
A user-centred approach to unlock the potential of non-invasive BCIs: an unprecedented international translational effort
Camille Jeunet
,
Camille Bernaroch
,
F Cabestaing
,
Ricardo Chavarriaga
,
Emma Colamarino
,
Marie Constance Corsi
,
Damien Coyle
,
F De Vico Fallani
,
S Enriquez-Geppert
,
P Figueirédo
,
others
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A Simulated Environment for Studying Partial Observability in Novel Adaptive Deep Brain Stimulation
Sebastián Castaño-Candamil
,
Mara Vaihinger
,
Michael Tangermann
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DOI
Heterogeneity of Event-Related Potentials in a Screen-Free Brain-Computer Interface
Henrich Kolkhorst
,
Joseline Veit
,
Wolfram Burgard
,
Michael Tangermann
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DOI
Learning User Preferences for Trajectories from Brain Signals
Henrich Kolkhorst
,
Wolfram Burgard
,
Michael Tangermann
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Spatial filters for auditory evoked potentials transfer between different experimental conditions
Jan Sosulski
,
Michael Tangermann
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DOI
A Simulated Environment for Early Development Stages of Reinforcement Learning Algorithms for Closed-Loop Deep Brain Stimulation
Sebastián Castaño-Candamil
,
Mara Vaihinger
,
Michael Tangermann
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DOI
URL
Extremely Reduced Data Sets Indicate Optimal Stimulation Parameters for Classification in Brain-Computer Interfaces
Jan Sosulski
,
Michael Tangermann
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DOI
URL
Influence of User Tasks on EEG-Based Classification Performance in a Hazard Detection Paradigm
Henrich Kolkhorst
,
Saku Kärkkäinen
,
Amund Faller Raheim
,
Wolfram Burgard
,
Michael Tangermann
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DOI
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