A high performing brain-machine interface driven by low-frequency local field potentials alone and together with spikes.

@article{Stavisky2015AHP,
  title={A high performing brain-machine interface driven by low-frequency local field potentials alone and together with spikes.},
  author={Sergey D. Stavisky and Jonathan C. Kao and Paul Nuyujukian and Stephen I. Ryu and Krishna V. Shenoy},
  journal={Journal of neural engineering},
  year={2015},
  volume={12 3},
  pages={036009}
}
OBJECTIVE Brain-machine interfaces (BMIs) seek to enable people with movement disabilities to directly control prosthetic systems with their neural activity. Current high performance BMIs are driven by action potentials (spikes), but access to this signal often diminishes as sensors degrade over time. Decoding local field potentials (LFPs) as an alternative… CONTINUE READING

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