• About
    • Mission
    • Background
    • Dissemination
    • People
    • Contact
    • Visit
    • Five Areas of Adaptive Neurotechnologies
  • Media
    • Press
    • News
    • Videos in the News
  • Technology
    • Technology Overview
    • Software
      • EPOCS
    • Video Tutorials
  • Research
    • Research Overview
    • Publications
    • Collaborative Projects
      • CP Overview
      • Current Projects
  • Training
    • Workshops
    • Summer Course 2019
      • Agenda
      • Reimbursement
      • Course Materials
      • FAQ
      • Social Events
      • Videos
    • Summer Course 2017
      • Agenda
      • Course Faculty
      • Reimbursement
      • Course Materials
      • FAQ
      • Social Events
      • Videos
    • Summer Course 2016
      • Agenda
      • Course Faculty
      • Videos
  • NCAN Support
    • Apply for Support
    • Our Sponsors
    • Our Partners
    • Support NCAN
Search form

Press enter to search.

Publications

Export 2 results:
  • BibTeX
  • RTF
  • Tagged
  • MARC
  • EndNote XML
  • RIS
Filters: Author is Mochty, Ursula  [Clear All Filters]
2007
Hinterberger T, Nijboer F, Kübler A, Matuz T, Furdea A, Mochty U, et al.. Brain Computer Interfaces for Communication in Paralysis: a Clinical-Experimental Approach. In [Internet]. Virtual Library of Psychology at Saarland University and State Library, GERMANY, PsyDok [http://psydok.sulb.uni-saarland.de/phpoai/oai2.php] (Germany); 2007. http://psydok.sulb.uni-saarland.de/volltexte/2008/2154/
  • Google Scholar
  • BibTeX
  • RTF
  • Tagged
  • MARC
  • EndNote XML
  • RIS
PDF icon Brain computer interfaces for communication in paralysis a clinical-experimental approach.pdf (765.58 KB)
2006
Hill, N Jeremy, Lal TN, Schröder M, Hinterberger T, Wilhelm B, Nijboer F, Widman G, et al.. Classifying EEG and ECoG signals without subject training for fast BCI implementation: comparison of nonparalyzed and completely paralyzed subjects. IEEE Trans Neural Syst Rehabil Eng [Internet]. 2006;14(2):183-6. http://www.ncbi.nlm.nih.gov/pubmed/16792289
  • PubMed
  • DOI
  • Google Scholar
  • BibTeX
  • RTF
  • Tagged
  • MARC
  • EndNote XML
  • RIS
PDF icon Classifying EEG and ECoG signals without subject training for fast BCI implementation comparison of nonparalyzed and completely paralyzed subjects.pdf (56.97 KB)

You are here

Home
or