Self-tuning Optimal Regulation of Respiratory Motor Output by Hebbian Covariance Learning

@article{Poon1996SelftuningOR,
  title={Self-tuning Optimal Regulation of Respiratory Motor Output by Hebbian Covariance Learning},
  author={Chi-Sang Poon},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={1996},
  volume={9 8},
  pages={
          1367-1383
        }
}
The respiratory motor system is a specialized musculoskeletal system that is controlled by a small assembly of neuronal clusters in the brainstem. Its prime function is to maintain CO(2), O(2), and pH homeostasis in arterial circulation through the motor act of breathing. A longstanding dilemma is that during muscular exercise homeostatic regulation occurs automatically without any apparent feedback or feedforward signals, whereas the homeostasis is readily abolished by exogenous chemical… CONTINUE READING

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