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Connection

Nicholas G. Hatsopoulos to Brain-Computer Interfaces

This is a "connection" page, showing publications Nicholas G. Hatsopoulos has written about Brain-Computer Interfaces.
  1. Propagating spatiotemporal activity patterns across macaque motor cortex carry kinematic information. Proc Natl Acad Sci U S A. 2023 01 24; 120(4):e2212227120.
    View in: PubMed
    Score: 0.829
  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: 0.582
  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: 0.580
  4. Comparing offline decoding performance in physiologically defined neuronal classes. J Neural Eng. 2016 Apr; 13(2):026004.
    View in: PubMed
    Score: 0.511
  5. Causal network in a deafferented non-human primate brain. Annu Int Conf IEEE Eng Med Biol Soc. 2015; 2015:59-62.
    View in: PubMed
    Score: 0.475
  6. 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: 0.443
  7. Multi-modal decoding: longitudinal coherency changes between spike trains, local field potentials and electrocorticogram signals. Annu Int Conf IEEE Eng Med Biol Soc. 2014; 2014:5192-5.
    View in: PubMed
    Score: 0.443
  8. Improving brain-machine interface performance by decoding intended future movements. J Neural Eng. 2013 Apr; 10(2):026011.
    View in: PubMed
    Score: 0.417
  9. Operant conditioning of a multiple degree-of-freedom brain-machine interface in a primate model of amputation. Annu Int Conf IEEE Eng Med Biol Soc. 2013; 2013:303-6.
    View in: PubMed
    Score: 0.413
  10. 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: 0.413
  11. 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: 0.385
  12. Consideration of the functional relationship between cortex and motor periphery improves offline decoding performance. Annu Int Conf IEEE Eng Med Biol Soc. 2014; 2014:4868-71.
    View in: PubMed
    Score: 0.111
  13. Ultra-long term stability of single units using chronically implanted multielectrode arrays. Annu Int Conf IEEE Eng Med Biol Soc. 2014; 2014:4872-5.
    View in: PubMed
    Score: 0.111
  14. Stable online control of an electrocorticographic brain-computer interface using a static decoder. Annu Int Conf IEEE Eng Med Biol Soc. 2012; 2012:1740-4.
    View in: PubMed
    Score: 0.096
  15. Histological evaluation of a chronically-implanted electrocorticographic electrode grid in a non-human primate. J Neural Eng. 2016 08; 13(4):046019.
    View in: PubMed
    Score: 0.033
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.