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Previous work by our group has shown that the scaling of reach trajectories to target size is independent of obligatory awareness of that target property and that "action without awareness" can persist for up to 2000 ms of visual delay.
In the present investigation we sought to determine if the ability to scale reaching trajectories to target size following a delay is related to the pre-computing of movement parameters during initial stimulus presentation or the maintenance of a sensory (i.e., visual) representation for on-demand response parameterization.
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Figure 7A plots responses along cortical trajectories to targets at different eccentricities in the contralateral visual field using the eccentricity version of the delayed saccade task.
To quantify filter performance, we compared algorithm estimated trajectories to joystick trajectories (in off-line reconstructions) and to target trajectories (in closed-loop BMI).
The navigation strategy optimally allocates multiple Trajectory Correction Manoeuvres to target a so-called capture corridor.
All model trajectories accurately fitted their target IP trajectories for proximal interphalangeal (PIP) joint ranges smaller than 25° to 45°; about half accurately fitted over the entire IP range with the remaining half having maximum approximation errors between 3° to 12°, while all models again converged to target trajectories for full IP flexion.
The complexity of the optimization problem is also reduced with the help of the Tisserand Poincaré (T P) graph that provides a simple way to target trajectories in the patched three-body problem.
They start with a very close to target trajectory and attempt to improve it, while here the method was applied for learning from scratch, without any "close to target" initial trajectory.
In addition, the trajectory of EPRA from current to target position is also important.
The detrimental effect of motor noise could be minimized by choosing, from the infinite number of possible saccade trajectories to a target, the trajectory that produces the smallest variability in saccade endpoints [13].
Thus, the ability of the D2000 group to scale their reach trajectories to veridical target size mandated that a sensory representation be maintained in memory until the time of response cuing.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com