Sentence examples for motor trajectories from inspiring English sources

We hypothesized that through the longitudinal evaluation of motor trajectories in the NICU follow-up clinic, we could distinguish infants who develop CP by 3 years of age.

The model shows how different motor trajectories can so be produced by controlling the same set of joint actuators.

We also performed some tests to show how LOOP_MODEL is able to generalize learned motor trajectories over different features of the movement, for example scale or translation.

An interesting issue that can be investigated with the model is the relation between learning equilibrium-points and learning complex motor trajectories.

A video of the test phase of this simulation is given in Online Resource 1. Figure 1 in Online Resource 4 shows the behaviour of the model in the case in which it learns and reproduces four different motor trajectories instead of three to show how the model can learn a large number of patterns.

These dynamics can be read out to control the activity of motor actuators, exploiting the ability of dynamical reservoirs to learn sequences and generalize the relations between the input and output spaces, as shown by the ability to generalize motor trajectories over translation and scale.

This approach has been successful in a series of studies in macaques: tool-use training resulted in spontaneous refinement of motor trajectory [10] and the spontaneous and rapid application of meta-tools [14].

A pressing need exists for an adequately powered RCT with long-term end points, to determine if GAME may advance these children's motor trajectory.

Thus, we speculate that initial learning of a complex trajectory might be guided by a reward-based acquisition of few intermediate key points relevant for the whole motor trajectory.

The results of these tests show that the model performs a motor trajectory that is translated or scaled in proportion to the level of the constant signal along a continuum that generalizes over the three learning samples (see Fig.  8a, b, dark grey curves).

Rationale: Published motor function trajectories in CP indicate that gross motor function throughout childhood improves but does not reach levels comparable to TD children.