Joos Behncke

According to our database1, Joos Behncke authored at least 10 papers between 2017 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Machine learning approaches for detection of robot errors in human brain signals
PhD thesis, 2020

2018
The dynamics of error processing in the human brain as reflected by high-gamma activity in noninvasive and intracranial EEG.
NeuroImage, 2018

The role of robot design in decoding error-related information from EEG signals of a human observer.
CoRR, 2018

Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding.
CoRR, 2018

A framework for large-scale evaluation of deep learning for EEG.
CoRR, 2018

Intracranial Error Detection via Deep Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Large-Scale Evaluation Framework for EEG Deep Learning Architectures.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Cross-Paradigm Pretraining of Convolutional Networks Improves Intracranial EEG Decoding.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks.
Proceedings of the 6th International Conference on Brain-Computer Interface, 2018

2017
Brain Responses During Robot-Error Observation.
CoRR, 2017


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