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Connection

Andrew Fagg to Motor Cortex

This is a "connection" page, showing publications Andrew Fagg has written about Motor Cortex.
Connection Strength

1.308
  1. Kinetic trajectory decoding using motor cortical ensembles. IEEE Trans Neural Syst Rehabil Eng. 2009 Oct; 17(5):487-96.
    View in: PubMed
    Score: 0.327
  2. Emergent coordination underlying learning to reach to grasp with a brain-machine interface. J Neurophysiol. 2018 04 01; 119(4):1291-1304.
    View in: PubMed
    Score: 0.146
  3. Changes in cortical network connectivity with long-term brain-machine interface exposure after chronic amputation. Nat Commun. 2017 11 27; 8(1):1796.
    View in: PubMed
    Score: 0.145
  4. Characterization of infant mu rhythm immediately before crawling: A high-resolution EEG study. Neuroimage. 2017 02 01; 146:47-57.
    View in: PubMed
    Score: 0.135
  5. Differences in motor cortical representations of kinematic variables between action observation and action execution and implications for brain-machine interfaces. Annu Int Conf IEEE Eng Med Biol Soc. 2014; 2014:1334-7.
    View in: PubMed
    Score: 0.111
  6. Compensating for delays in brain-machine interfaces by decoding intended future movement. Annu Int Conf IEEE Eng Med Biol Soc. 2012; 2012:4087-90.
    View in: PubMed
    Score: 0.097
  7. Continuous decoding of intended movements with a hybrid kinetic and kinematic brain machine interface. Annu Int Conf IEEE Eng Med Biol Soc. 2011; 2011:5802-6.
    View in: PubMed
    Score: 0.090
  8. Incorporating feedback from multiple sensory modalities enhances brain-machine interface control. J Neurosci. 2010 Dec 15; 30(50):16777-87.
    View in: PubMed
    Score: 0.090
  9. Toward a biomimetic, bidirectional, brain machine interface. Annu Int Conf IEEE Eng Med Biol Soc. 2009; 2009:3376-80.
    View in: PubMed
    Score: 0.078
  10. Dorsal premotor cortex and conditional movement selection: A PET functional mapping study. J Neurophysiol. 1998 Feb; 79(2):1092-7.
    View in: PubMed
    Score: 0.037
  11. Improving brain-machine interface performance by decoding intended future movements. J Neural Eng. 2013 Apr; 10(2):026011.
    View in: PubMed
    Score: 0.026
  12. Online adaptive decoding of intended movements with a hybrid kinetic and kinematic brain machine interface. Annu Int Conf IEEE Eng Med Biol Soc. 2013; 2013:1583-6.
    View in: PubMed
    Score: 0.026
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

THIS IS A DEVELOPMENT VERSION OF PROFILES. PLEASE GO TO THE PRODUCTION ENVIRONMENT FOR UPDATES