Design and validation of a real-time spiking-neural-network decoder for brain-machine interfaces.

@article{Dethier2013DesignAV,
  title={Design and validation of a real-time spiking-neural-network decoder for brain-machine interfaces.},
  author={Julie Dethier and Paul Nuyujukian and Stephen I. Ryu and Krishna V. Shenoy and Kwabena Boahen},
  journal={Journal of neural engineering},
  year={2013},
  volume={10 3},
  pages={036008}
}
OBJECTIVE Cortically-controlled motor prostheses aim to restore functions lost to neurological disease and injury. Several proof of concept demonstrations have shown encouraging results, but barriers to clinical translation still remain. In particular, intracortical prostheses must satisfy stringent power dissipation constraints so as not to damage cortex. APPROACH One possible solution is to use ultra-low power neuromorphic chips to decode neural signals for these intracortical implants. The… CONTINUE READING

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