Neural population partitioning and a concurrent brain-machine interface for sequential motor function

@inproceedings{Shanechi2012NeuralPP,
  title={Neural population partitioning and a concurrent brain-machine interface for sequential motor function},
  author={Maryam M. Shanechi and Rollin Hu and Marissa Powers and Gregory W. Wornell and Emery N. Brown and Ziv M. Williams},
  booktitle={Nature Neuroscience},
  year={2012}
}
Although brain-machine interfaces (BMIs) have focused largely on performing single-targeted movements, many natural tasks involve planning a complete sequence of such movements before execution. For these tasks, a BMI that can concurrently decode the full planned sequence before its execution may also consider the higher-level goal of the task to reformulate and perform it more effectively. Using population-wide modeling, we discovered two distinct subpopulations of neurons in the rhesus monkey… CONTINUE READING
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A brain-machine interface combining target and trajectory information using optimal feedback control

  • MM. Shanechi, ZM. Williams, GW. Wornell, EN. Brown
  • Computational and Systems Neuroscience (COSYNE…
  • 2011

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