Neuromorphic meets neuromechanics, part I: the methodology and implementation

@article{Niu2017NeuromorphicMN,
  title={Neuromorphic meets neuromechanics, part I: the methodology and implementation},
  author={Chuanxin Minos Niu and Kian Jalaleddini and Won Joon Sohn and John Rocamora and Terence D. Sanger and Francisco J. Valero-Cuevas},
  journal={Journal of Neural Engineering},
  year={2017},
  volume={14}
}
Objective: One goal of neuromorphic engineering is to create ‘realistic’ robotic systems that interact with the physical world by adopting neuromechanical principles from biology. Critical to this is the methodology to implement the spinal circuitry responsible for the behavior of afferented muscles. At its core, muscle afferentation is the closed-loop behavior arising from the interactions among populations of muscle spindle afferents, alpha and gamma motoneurons, and muscle fibers to enable… 

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