Data from: Visual feedback influences the consistency of the locomotor pattern in Asian Elephants (Elephas maximus)
Data files
Jun 09, 2023 version files 34.73 KB
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BioLet_Data_Matlab.zip
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README.md
Abstract
Elephants are atypical of most quadrupeds in that they maintain the same lateral sequence footfall pattern across all locomotor speeds. It has been speculated that the preservation of the footfall patterns is necessary to maintain a statically stable support polygon. This should be a particularly important constraint in large, relatively slow animals. This suggests that elephants must rely on available sensory feedback mechanisms to actively control their massive pillar-like limbs for proper foot placement and sequencing. How the nervous system of elephants integrates the available sensory information for a stable gait is unknown. Here we explored the role that visual feedback plays in the control of the locomotor pattern in elephants. Four Asian elephants (Elephas maximus) walked with and without a blindfold as we measured their stride time intervals. Coefficient of variation was used to assess changes in the overall variability of the stride time intervals, while approximate entropy was used to measure the stride-to-stride consistency of the time intervals. We show that visual feedback plays a role in the stride-to-stride consistency of the locomotor pattern in elephants. These results demonstrate that elephants likely use visual feedback to correct and maintain proper sequencing of the limbs during locomotion.
Usage notes
MatLab; alternative = https://octave.org