• Corpus ID: 43943457

Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces

@article{Clark2018SpikingLD,
  title={Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces},
  author={David G. Clark and Jesse A. Livezey and Edward F. Chang and Kristofer E. Bouchard},
  journal={ArXiv},
  year={2018},
  volume={abs/1805.08889}
}
Neuromorphic architectures achieve low-power operation by using many simple spiking neurons in lieu of traditional hardware. Here, we develop methods for precise linear computations in spiking neural networks and use these methods to map the evolution of a linear dynamical system (LDS) onto an existing neuromorphic chip: IBM's TrueNorth. We analytically characterize, and numerically validate, the discrepancy between the spiking LDS state sequence and that of its non-spiking counterpart. These… 
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