Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates

@article{Carmena2003LearningTC,
  title={Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates},
  author={Jose M. Carmena and Mikhail A. Lebedev and Roy E. Crist and Joseph E. O'Doherty and David M. Santucci and Dragan F. Dimitrov and Parag G. Patil and C. S. Henriquez and Miguel A. L Nicolelis},
  journal={PLoS Biology},
  year={2003},
  volume={1},
  pages={164 - 178}
}
Reaching and grasping in primates depend on the coordination of neural activity in large frontoparietal ensembles. Here we demonstrate that primates can learn to reach and grasp virtual objects by controlling a robot arm through a closed-loop brain-machine interface (BMIc) that uses multiple mathematical models to extract several motor parameters (i.e., hand position, velocity, gripping force, and the EMGs of multiple arm muscles) from the electrical activity of frontoparietal neuronal… CONTINUE READING
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Chronic, multi-site, multi-electrode recordings in macaque monkeys

  • MAL Nicolelis, D Dimitrov, JM Carmena, R Crist, G Lehew
  • Proc Natl Acad Sci U S A
  • 2003
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