Invariant body kinematics: II. Reaching and neurogeometry

@article{Hestenes1994InvariantBK,
  title={Invariant body kinematics: II. Reaching and neurogeometry},
  author={David Hestenes},
  journal={Neural Networks},
  year={1994},
  volume={7},
  pages={79-88}
}
Abstract Invariant methods for formulating and analyzing the mechanics of the skeleto-muscular system with geometric algebra are further developed and applied to reaching kinematics. This work is set in the context of a neurogeometry research program to develop a coherent mathematical theory of neural sensory-motor control systems. 

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References

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SHOWING 1-10 OF 21 REFERENCES