Toward optimal target placement for neural prosthetic devices.

@article{Cunningham2008TowardOT,
  title={Toward optimal target placement for neural prosthetic devices.},
  author={J. Cunningham and B. Yu and V. Gilja and S. Ryu and K. Shenoy},
  journal={Journal of neurophysiology},
  year={2008},
  volume={100 6},
  pages={
          3445-57
        }
}
  • J. Cunningham, B. Yu, +2 authors K. Shenoy
  • Published 2008
  • Medicine, Psychology
  • Journal of neurophysiology
  • Neural prosthetic systems have been designed to estimate continuous reach trajectories (motor prostheses) and to predict discrete reach targets (communication prostheses). In the latter case, reach targets are typically decoded from neural spiking activity during an instructed delay period before the reach begins. Such systems use targets placed in radially symmetric geometries independent of the tuning properties of the neurons available. Here we seek to automate the target placement process… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 113 REFERENCES
    Neuronal ensemble control of prosthetic devices by a human with tetraplegia
    • 2,793
    • PDF
    Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates
    • 1,616
    • PDF
    Brain–machine interfaces: past, present and future
    • 1,452
    • PDF
    Cortical control of a prosthetic arm for self-feeding
    • 1,437
    • PDF
    Neuronal population coding of movement direction.
    • 2,681
    • PDF
    Cognitive Control Signals for Neural Prosthetics
    • 533
    • Highly Influential
    • PDF
    Instant neural control of a movement signal
    • 778
    • PDF
    Direct Cortical Control of 3D Neuroprosthetic Devices
    • 1,362
    • PDF