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Bridging the gap between motor imagery and motor execution with a brain–robot interface

  • Published:2015-03 Issue: Volume:108 Page:319-327
  • ISSN:1053-8119
  • Container-title:NeuroImage
  • language:en
  • Short-container-title:NeuroImage

Author:

Bauer Robert,Fels Meike,Vukelić Mathias,Ziemann Ulf,Gharabaghi Alireza

Funder

Graduate Training Centre of Neuroscience, International Max Planck Research School, Tuebingen, Germany

German Research Council

Federal Ministry of Education and Research

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference73 articles.

1. Monitoring of muscle fatigue during isokinetic exercise;Airaksinen;Acupunct. Electrother. Res.,2001

2. The resting human brain and motor learning;Albert;Curr. Biol.,2009

3. A large clinical study on the ability of stroke patients to use an EEG-based motor imagery brain–computer interface;Ang;Clin. EEG Neurosci.,2011

4. State-dependent and timing-dependent bidirectional associative plasticity in the human SMA-M1 network;Arai;J. Neurosci.,2011

5. Controlling the false discovery rate: a practical and powerful approach to multiple testing;Benjamini;J. R. Stat. Soc. Ser. B Methodol.,1995

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