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Joos Behncke


  Contact

  Autonomous Intelligent Systems Group

  Department of Computer Science

  Engelbergerstraße 21
  79106 Freiburg
  

  Phone:    +49 761 270-93130

 

Research Interests

machine learning, neurobotics, BCI, EEG/iEEG, error signals

 

Curriculum Vitae

  • Since 2014 Ph.D. computer science, candidate at TNT lab
  • November 2013 Diploma in Physics at Albert-Ludwigs-University Freiburg

 

Publications

  • Behncke J., Schirrmeister R. T., Burgard W., and Ball T., "The role of robot design in decoding error-related information from EEG signals of a human observer". 6th International Congress on Neurotechnology, Electronics and Informatics 2018. doi.org/10.5220/0006934900610066
  • Heilmeyer F.A., Schirrmeister R.T., Fiederer L.D.J., Völker M., Behncke J., Ball T., "A framework for large-scale evaluation of deep learning for EEG". IEEE International Conference on Systems, Man, and Cybernetics 2018 https://arxiv.org/abs/1806.07741
  • Völker M., Hammer J., Schirrmeister R.T., Behncke J., Fiederer L.D., Schulze-Bonhage A., Marusič P., Burgard W., and Ball T., "Intracranial Error Detection via Deep Learning". IEEE International Conference on Systems, Man, and Cybernetics 2018 https://arxiv.org/abs/1805.01667
  • Behncke J., Schirrmeister R. T., Völker M., Hammer J., Marusič P., Schulze-Bonhage A., Burgard W., and Ball T., "Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding". IEEE International Conference on Systems, Man, and Cybernetics 2018 arxiv.org/abs/1806.09532
  • Völker, M., Fiederer L.D.J., Berberich S., Hammer J., Behncke J., Kršek, P., Tomášek M., Marusič P., Reinacher P.C., Coenen V.A., Helias M., Schulze-Bonhage A., Burgard W., and Ball T. "The dynamics of error processing in the human brain as reflected by high-gamma activity in noninvasive and intracranial EEG". NeuroImage, 2018. doi.org/10.1016/j.neuroimage.2018.01.059
  • Behncke J., Schirrmeister R. T., Burgard W., and Ball T., "The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks". IEEE The 6th International Winter Conference on Brain-Computer Interface 2018. doi.org/10.1109/IWW-BCI.2018.8311531
  • Welke D.*, Behncke J.*, Hader M., Schirrmeister R. T., Schönau A., Eßmann B., Müller O., Burgard W., and Ball T., *equally contributing. "Brain Responses During Robot-Error Observation". Kognitive Systeme / 2017 - 1. http://dx.doi.org/10.17185/duepublico/44533

 

 

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