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Motor Learning Characterized by Changing Lévy Distributions

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  • Tyler Cluff
  • Ramesh Balasubramaniam

Abstract

The probability distributions for changes in transverse plane fingertip speed are Lévy distributed in human pole balancing. Six subjects learned to balance a pole on their index finger over three sessions while sitting and standing. The Lévy or decay exponent decreased as a function of learning, showing reduced decay in the probability for large speed steps and was significantly smaller in the sitting condition. However, the probability distribution for changes in fingertip speed was truncated so that the probability for large steps was reduced in this condition. These results show a learning-induced tolerance for large speed step sizes and demonstrate that motor learning in continuous tasks may be characterized by changing distributions that reflect sensorimotor skill acquisition.

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  • Tyler Cluff & Ramesh Balasubramaniam, 2009. "Motor Learning Characterized by Changing Lévy Distributions," PLOS ONE, Public Library of Science, vol. 4(6), pages 1-7, June.
    • Handle: RePEc:plo:pone00:0005998
    DOI: 10.1371/journal.pone.0005998
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    1. Konrad P. Körding & Daniel M. Wolpert, 2004. "Bayesian integration in sensorimotor learning," Nature, Nature, vol. 427(6971), pages 244-247, January.
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