Researcher

Sorger, Bettina

Associate Professor

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  1. Article › Academic › Peer-reviewed
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    Habes, I., Krall, S., Johnston, S. J., Yuen, K. S. L., Healy, D., Goebel, R., ... Linden, D. E. J. (2013). Pattern classification of valence in depression. Neuroimage, 2, 675-683. https://doi.org/10.1016/j.nicl.2013.05.001
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  45. Chapter › Academic
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    Guger, C., Sorger, B., Noirhomme, Q., Naci, L., Monti, M. M., Real, R., ... Cincotti, F. (2014). Brain-Computer Interfaces for Assessment and Communication in Disorders of Consciousness. In G. R. Naik, & Y. Guo (Eds.), Emerging Theory and Practice in Neuroprosthetics (pp. 181-214). IGI Global Publishing.
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    Sorger, B., Reithler, J., & Goebel, R. W. (2010). Einsatzmöglichkeiten hämodynamisch basierter Brain-Computer-Interfaces für Kommunikation und Umgebungskontrolle. In K. H. Pantke (Ed.), Mensch und Maschine: Wie Brain-Computer-Interfaces und andere Innovationen gelähmten Menschen kommunizieren helfen (pp. 73-89). Frankfurt am Main: Mabuse-Verlag.
  48. Published
    Sorger, B., Reithler, J., & Goebel, R. W. (2010). Grundlagen hämodynamisch basierter Brain-Computer-Interfaces. In K. H. Pantke (Ed.), Mensch und Maschine: Wie Brain-Computer-Interfaces und andere Innovationen gelähmten Menschen kommunizieren helfen (pp. 55-71). Frankfurt am Main: Mabuse-Verlag.
  49. Chapter › Professional
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    Chatelle, C., Lugo, Z., Noirhomme, Q., Sorger, B., & Lulé, D. (2012). Brain-computer interface: a communication aid? In C. Schnakers, & S. Laureys (Eds.), Coma and disorders of consciousness (pp. 67-78). London: Springer. https://doi.org/10.1007/978-1-4471-2440-5_7
  51. Published
    Chatelle, C., Lugo, Z., Noirhomme, Q., Sorger, B., & Lulé, D. (2012). Interface cerveau-ordinateur: une aide à la communication? In C. Schnakers, & S. Laureys (Eds.), Coma et états de conscience altérée (pp. 73-84). Paris: Springer.
  52. Conference article in proceeding › Academic › Peer-reviewed
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  54. Paper › Academic
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    Sorger, B., Tumanov, K., Benitez Andonegui, A., Lührs, M., Boeijkens, H., Weiss, G., ... Möckel, R. (2017). An fNIRS-based brain-machine interface for remote robot control. Paper presented at Real-Time Functional Imaging and Neurofeedback Conference, Nara, Japan.
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