Sentence examples for mouse locomotion presented from inspiring English sources

The novel quantitative framework for mouse locomotion presented here highlights the importance of considering 3D, interlimb and whole-body coordination and dissociating them from the control of individual paw kinematics, particularly when analyzing cerebellar contributions to locomotion.

Finally, the approach to quantifying locomotion presented here provides several distinct advantages.

Analyses of mouse locomotion that have focused on quantifying the kinds of basic stride parameters presented in Figure 2 have previously failed to quantitatively capture gait ataxia in visibly ataxic mice (Cendelin et al., 2010).

LocoMouse presents several advantages when compared to available systems for analyzing mouse locomotion (Hamers et al., 2001; Hoogland et al., 2015; Leblond et al., 2003; Kale et al., 2004; Garnier et al., 2008; Zörner et al., 2010).

Also to our knowledge no one has presented predictive models for stride parameters as we do here and we think this, together with the large dataset we provide, is a useful resource for future mouse locomotion studies.

A numerical study of undulatory locomotion is presented.

The animals stayed in the central part of the apparatus and presented lower locomotion ratio in the central quadrants/total of locomotion during this test.

Surprisingly, the recovery of response was specific to the particular visual stimuli presented during locomotion.

Steffan et al. presented the idea of cellular locomotion mechanism in [14], where the proposed mechanism generates rectilinear locomotion exclusively through linear actuation of the legs.

Analysis on gripping force, locomotion force, together with experimental results will be presented as well.

The presented method was specifically designed for the skeletal locomotion tracking scenario at hand.