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Joos Behncke
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Books and Theses
- 2020
- [b1]Joos Behncke:
Machine learning approaches for detection of robot errors in human brain signals. University of Freiburg, Germany, 2020
Journal Articles
- 2018
- [j1]Martin Völker, Lukas Dominique Josef Fiederer, Sofie Berberich, Jirí Hammer, Joos Behncke, Pavel Krsek, Martin Tomásek, Petr Marusic, Peter C. Reinacher, Volker A. Coenen, Moritz Helias, Andreas Schulze-Bonhage, Wolfram Burgard, Tonio Ball:
The dynamics of error processing in the human brain as reflected by high-gamma activity in noninvasive and intracranial EEG. NeuroImage 173: 564-579 (2018)
Conference and Workshop Papers
- 2018
- [c4]Joos Behncke, Robin Tibor Schirrmeister, Wolfram Burgard, Tonio Ball:
The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks. BCI 2018: 1-6 - [c3]Martin Völker, Jirí Hammer, Robin Tibor Schirrmeister, Joos Behncke, Lukas Dominique Josef Fiederer, Andreas Schulze-Bonhage, Petr Marusic, Wolfram Burgard, Tonio Ball:
Intracranial Error Detection via Deep Learning. SMC 2018: 568-575 - [c2]Felix A. Heilmeyer, Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Martin Völker, Joos Behncke, Tonio Ball:
A Large-Scale Evaluation Framework for EEG Deep Learning Architectures. SMC 2018: 1039-1045 - [c1]Joos Behncke, Robin Tibor Schirrmeister, Martin Völker, Jirí Hammer, Petr Marusic, Andreas Schulze-Bonhage, Wolfram Burgard, Tonio Ball:
Cross-Paradigm Pretraining of Convolutional Networks Improves Intracranial EEG Decoding. SMC 2018: 1046-1053
Informal and Other Publications
- 2018
- [i6]Martin Völker, Jirí Hammer, Robin Tibor Schirrmeister, Joos Behncke, Lukas Dominique Josef Fiederer, Andreas Schulze-Bonhage, Petr Marusic, Wolfram Burgard, Tonio Ball:
Intracranial Error Detection via Deep Learning. CoRR abs/1805.01667 (2018) - [i5]Felix A. Heilmeyer, Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Martin Völker, Joos Behncke, Tonio Ball:
A framework for large-scale evaluation of deep learning for EEG. CoRR abs/1806.07741 (2018) - [i4]Joos Behncke, Robin Tibor Schirrmeister, Martin Völker, Andreas Schulze-Bonhage, Wolfram Burgard, Tonio Ball:
Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding. CoRR abs/1806.09532 (2018) - [i3]Joos Behncke, Robin Tibor Schirrmeister, Wolfram Burgard, Tonio Ball:
The role of robot design in decoding error-related information from EEG signals of a human observer. CoRR abs/1807.01597 (2018) - 2017
- [i2]Dominik Welke, Joos Behncke, Marina Hader, Robin Tibor Schirrmeister, Andreas Schönau, Boris Eßmann, Oliver Müller, Wolfram Burgard, Tonio Ball:
Brain Responses During Robot-Error Observation. CoRR abs/1708.01465 (2017) - [i1]Joos Behncke, Robin Tibor Schirrmeister, Wolfram Burgard, Tonio Ball:
The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks. CoRR abs/1711.06068 (2017)
Coauthor Index
aka: Robin Tibor Schirrmeister
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