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It should be noted that even though the robot only moved one arm at the same time while the human moved both, the assembly task was successful.
In part B, side biases were very weak (mean + SEM = 56.9 + 2.24%), showing that the revised task was successful in reducing side biases.
These activations further strengthen our confidence that the fact-learning task was successful at engendering conceptual processing, and warrants our claims about the anterior temporal lobe's role in conceptual processing.
As in previous investigations of healthy controls [e.g., [ 6, 73]], the removal of LH processing advantage under dual task conditions indicates that the additional verbal memory task was successful in overloading the attentional resources of the LH, and resulted in disinhibition of RH processing.
First, although the antisaccade task is successful in introducing a spatial dissonance between the sensory and movement components of the task, it requires nonstandard spatial transformations that have been shown to engage quite different patterns of neural activity throughout the cortex (Sweeney et al. 1996; Grunewald et al. 1999; Matthews et al. 2002; Brown et al. 2007; Hawkins et al. 2013).
This explanation best accounts for why subjects who were OFF medication throughout the task were equally successful at choosing the best stimuli in the context of the training pairs.
First, all three tasks were successful in inducing lateralized activation.
In other words, this control task was important to show that the task manipulation was successful, in that both endogenous and exogenous cues guided attention.
Each item has to be rated along a seven-point scale according to two criteria: how crucial the task is to the successful performance of the respondent's job; and how well the respondent is currently performing the task.
If most people are unsuccessful at a task, it is judged to be difficult, and, if most people are successful, the task is judged to be easy.
These simulations were successful because the task were solvable without specifically requiring discrimination based on the age of an item in working memory (though it is straightforward to construct "pathological" AMDPs where such information should be required).
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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