Brain-machine interface: Instant neural control of a movement signal

@article{Serruya2002BrainmachineII,
  title={Brain-machine interface: Instant neural control of a movement signal},
  author={Mijail D. Serruya and Nicholas G. Hatsopoulos and Liam Paninski and Matthew R. Fellows and John P. Donoghue},
  journal={Nature},
  year={2002},
  volume={416},
  pages={141-142}
}
The activity of motor cortex (MI) neurons conveys movement intent sufficiently well to be used as a control signal to operate artificial devices, but until now this has called for extensive training or has been confined to a limited movement repertoire. [] Key Result Our results, which are based on recordings made by an electrode array that is suitable for human use, indicate that neurally based control of movement may eventually be feasible in paralysed humans.

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Current challenges in the development of a cortical brain-machine interface

  • N. HatsopoulosJ. O'LearyJ. Joshi
  • Biology
    Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439)
  • 2003
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The results demonstrate the presence of a high-fidelity neural representation for ipsilateral movement and illustrates that it can be successfully incorporated into a brain-machine interface and the influence of movement context on movement reconstruction accuracy.
...

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