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Neuron-Type-Specific Utility in a Brain-Machine Interface: a Pilot Study.

Martha G Garcia-GarciaAustin J BergquistHector Vargas-PerezMary K NagaiJosé ZariffaCesar Marquez-ChinMilos R Popovic
Published in: The journal of spinal cord medicine (2017)
The ability to select neurons with high utility will be important to minimize training times and maximize information yield in future clinical BMI applications. The highly contrasting utility observed between fast-spiking and bursting neurons versus regular-spiking neurons allows for the hypothesis to be advanced that intrinsic electrophysiological properties may be useful criteria that predict neuron utility in BMI implementation.
Keyphrases
  • spinal cord
  • body mass index
  • primary care
  • healthcare
  • weight gain
  • deep learning
  • white matter
  • physical activity
  • current status
  • multiple sclerosis
  • machine learning