Computational Models for Neuromuscular Function

@article{ValeroCuevas2009ComputationalMF,
  title={Computational Models for Neuromuscular Function},
  author={F. J. Valero-Cuevas and Holger Hoffmann and M. U. Kurse and J J Kutch and E. A. Theodorou},
  journal={IEEE Reviews in Biomedical Engineering},
  year={2009},
  volume={2},
  pages={110-135}
}
Computational models of the neuromuscular system hold the potential to allow us to reach a deeper understanding of neuromuscular function and clinical rehabilitation by complementing experimentation. By serving as a means to distill and explore specific hypotheses, computational models emerge from prior experimental data and motivate future experimental work. Here we review computational tools used to understand neuromuscular function including musculoskeletal modeling, machine learning… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 223 references

Neural Networks for Pattern Recognition

  • C. M. Bishop
  • 1995
Highly Influential
8 Excerpts

Guaranteed margins for LQG regulators

  • J. C. Doyle
  • IEEE Trans. Autom. Control, vol. AC-23, no. 4, pp…
  • 1978
Highly Influential
3 Excerpts

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