[0] Gandolfo F, Mussa-Ivaldi FA, Bizzi E, Motor learning by field approximation.Proc Natl Acad Sci U S A 93:9, 3843-6 (1996 Apr 30)[1] Mussa-Ivaldi FA, Giszter SF, Vector field approximation: a computational paradigm for motor control and learning.Biol Cybern 67:6, 491-500 (1992)


{300} revision 1 modified: 12-07-2011 03:40 gmt

Motor learning by field approximation.

  • PMID-8632977[0]
    • studied the generalization properties of force compensation in humans.
    • learning to compensate only occurs in regions of space where the subject actually experianced the force.
    • they posit that the CNS builds an internal model of the external world in order to predict and compensate for it. what a friggn surprise! eh well.
  • PMID-1472573[1] Vector field approximation: a computational paradigm for motor control and learning
    • Recent experiments in the spinalized frog (Bizzi et al. 1991) have shown that focal microstimulation of a site in the premotor layers in the lumbar grey matter of the spinal cord results in a field of forces acting on the frog's ankle and converging to a single equilibrium position
    • they propose that the process of generating movements is the process of combining basis functions/fields. these feilds may be optimized based on making it easy to achieve goals/move in reasonable ways.
  • alternatly, these basis functions could make movements invariant under a number of output transformations. yes...

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