Author

Wolfram Burgard

University of FreiburgORCID 0000-0002-5680-6500Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Lukas D. J. FiedereriD· 2 shared Tonio Ball AiD· 2 shared Andreas Schulze‐BonhageiD· 1 shared Bernhard NebeliD· 1 shared C. Do· 1 shared Daniel Kuhner· 1 shared Felix Burget· 1 shared Jiří HammeriD· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersNeuroscience

Lukas D. J. FiedererORCID

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2 papers

Recent·Most cited

Deep Learning Based BCI Control of a Robotic Service Assistant Using Intelligent Goal Formulation

Daniel Kuhner, Lukas D. J. Fiederer, Johannes Aldinger, Felix Burget, M. Völker, Robin Tibor Schirrmeister, C. Do, Joschka Bödecker, Bernhard Nebel, Tonio Ball A, Wolfram Burgard

This paper presents a BCI system that enables paralyzed users to control a robotic assistant using thoughts, demonstrating adaptability and task completion in real-world scenarios.

bioRxiv · Mar 26, 2018 · PreprintNeuroscience

The Dynamics of Error Processing in the Human Brain as Reflected by High-Gamma Activity in Noninvasive and Intracranial EEG

Martin Völker, Lukas D. J. Fiederer, Sofie Berberich, Jiří Hammer, Joos Behncke, Pavel Kršek, Martin Tomášek, Petr Marusič, Peter Christoph Reinacher, Volker Arnd Coenen, Moritz Helias, Andreas Schulze‐Bonhage, Wolfram Burgard, Tonio Ball A

This study investigates error processing in the human brain using high-gamma activity from noninvasive and intracranial EEG, revealing distinct global and local dynamics in error-related responses.

NeuroImage · Feb 19, 2018Peer-reviewedNeuroscience