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motor learning characterized by changing lévy distributions运动学习改变征收分布的特征
´ Motor Learning Characterized by Changing Levy Distributions Tyler Cluff1,2*, Ramesh Balasubramaniam1,2 1 Sensorimotor Neuroscience Laboratory, Department of Kinesiology, McMaster University, Hamilton, Ontario, Canada, 2 McMaster Integrative Neuroscience Discovery and Study (MiNDS), McMaster University, Hamilton, Ontario, Canada Abstract ´ The probability distributions for changes in transverse plane fingertip speed are Levy distributed in human pole balancing. ´ Six subjects learned to balance a pole on their index finger over three sessions while sitting and standing. The Levy 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. ´ Citation: Cluff T, Balasubramaniam R (2009) Motor Learning Characterized by Changing Levy Distributions. PLoS ONE 4(6): e5998. doi:10.1371/ journal.pone.0005998 Editor: Vladimir Brezina, Mount Sinai School of Me
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