Beyond curve fitting: a dynamical systems account of exponential learning in a discrete timing task |
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Authors: | Liu Yeou-Teh Mayer-Kress Gottfried Newell Karl M |
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Affiliation: | Department of Physical Education, Taiwan Normal University, Taiwan. |
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Abstract: | The authors examined the function for learning a discrete timing task from a dynamical systems perspective rather than solely the traditional curve-fitting viewpoint. Adult participants (N = 8) practiced a single-limb angular movement task of 125 ms over 20 degrees for 200 trials. There was no significant difference in percentage of variance accounted for in 3 parameter exponential and power-law nonlinear fits to the individual and averaged data. The percentage of variance increased in both exponential and power-law equations when the data were averaged over participants and trials. Drawing on a dynamical systems approach to time scales in motor learning and on analysis of the distinctive features of exponential and power-law functions, however, the authors conclude that the exponential is the learning function for that task and that level of practice. |
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