Mark Snaterse

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Humans spontaneously select a step frequency that minimizes the energy expenditure of walking. This selection might be embedded within the neural circuits that generate gait so that the optimum is pre-programmed for a given walking speed. Or perhaps step frequency is directly optimized, based on sensed feedback of energy expenditure. Direct optimization is(More)
Recent research has suggested that energy minimization in human walking involves both a fast preprogrammed process and a slow optimization process. Here, we studied human running to test whether these two processes represent control mechanisms specific to walking or a more general strategy for minimizing energetic cost in human locomotion. To accomplish(More)
People prefer gaits that minimize their energetic cost. Research focused on step frequency selection suggests that a fast predictive process and a slower optimization process underlie this energy optimization. Our purpose in this study was to test whether the mechanisms controlling step frequency selection are used more generally to select one of the most(More)
1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Running perturbations reveal general strategies for step frequency selection 18 19 Kristine L. Snyder, Mark Snaterse and J. Maxwell Donelan 20 21 1. Dept. of Applied Mathematics, University of Colorado, Boulder, CO, 80309, USA 22 2. Dept. of Biomedical Physiology & Kinesiology, Simon Fraser Univ., Burnaby, BC, V5A(More)
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