How to Retrain Movement after Neurologic Injury : A Computational Rationale for Incorporating Robot ( or Therapist ) Assistance

@inproceedings{Reinkensmeyer2003HowTR,
  title={How to Retrain Movement after Neurologic Injury : A Computational Rationale for Incorporating Robot ( or Therapist ) Assistance},
  author={David J. Reinkensmeyer},
  year={2003}
}
This paper develops an adaptive Markov model of sensory motor control, and then uses the model to examine the putative role of external mechanical assistance from a robotic device or therapist in promoting neurologic recovery. The model assumes that: 1) The CNS probabilistically interprets propr ioceptive information in real time in order to generate motor output; 2) Sensory-motor pathways become more reliable with repetitive activation in a sor t of Hebbian learning; 3) Normal sensory input… CONTINUE READING