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Endogenous controllability of closed-loop brain-machine interfaces for pain

View ORCID ProfileSuyi Zhang, View ORCID ProfileWako Yoshida, Hiroaki Mano, View ORCID ProfileTakufumi Yanagisawa, View ORCID ProfileKazuhisa Shibata, View ORCID ProfileMitsuo Kawato, View ORCID ProfileBen Seymour
doi: https://doi.org/10.1101/369736
Suyi Zhang
1Computational and Biological Learning Laboratory, Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UK
2Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan
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  • ORCID record for Suyi Zhang
Wako Yoshida
2Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan
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Hiroaki Mano
3Center for Information and Neural Networks, National Institute for Information and Communications Technology, 1-4 Yamadaoka, Suita, Osaka, Japan, 565-0871
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Takufumi Yanagisawa
4Endowed Research Department of Clinical Neuroengineering, Global Center for Medical Engineering and Informatics, Osaka University, Japan
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Kazuhisa Shibata
5Department of Cognitive and Psychological Sciences, Graduate School of Informatics, Nagoya University, Japan
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Mitsuo Kawato
2Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan
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Ben Seymour
1Computational and Biological Learning Laboratory, Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UK
2Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan
3Center for Information and Neural Networks, National Institute for Information and Communications Technology, 1-4 Yamadaoka, Suita, Osaka, Japan, 565-0871
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Article Information

doi 
https://doi.org/10.1101/369736
History 
  • July 16, 2018.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Suyi Zhang1,2,*,
  2. Wako Yoshida2,
  3. Hiroaki Mano3,
  4. Takufumi Yanagisawa4,
  5. Kazuhisa Shibata5,
  6. Mitsuo Kawato2 and
  7. Ben Seymour1,2,3,*
  1. 1Computational and Biological Learning Laboratory, Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UK
  2. 2Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan
  3. 3Center for Information and Neural Networks, National Institute for Information and Communications Technology, 1-4 Yamadaoka, Suita, Osaka, Japan, 565-0871
  4. 4Endowed Research Department of Clinical Neuroengineering, Global Center for Medical Engineering and Informatics, Osaka University, Japan
  5. 5Department of Cognitive and Psychological Sciences, Graduate School of Informatics, Nagoya University, Japan
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Posted July 16, 2018.
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Endogenous controllability of closed-loop brain-machine interfaces for pain
Suyi Zhang, Wako Yoshida, Hiroaki Mano, Takufumi Yanagisawa, Kazuhisa Shibata, Mitsuo Kawato, Ben Seymour
bioRxiv 369736; doi: https://doi.org/10.1101/369736
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Endogenous controllability of closed-loop brain-machine interfaces for pain
Suyi Zhang, Wako Yoshida, Hiroaki Mano, Takufumi Yanagisawa, Kazuhisa Shibata, Mitsuo Kawato, Ben Seymour
bioRxiv 369736; doi: https://doi.org/10.1101/369736

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