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Functional measurement refers specifically to quantifying an individual's performance of particular tasks and activities in the context of specified social and physical environments.

By the mid-nineteen-nineties, neuroscientists, using MRI machines and other advanced imaging techniques, had developed a basic understanding of the roles played by different parts of the brain in the performance of particular tasks, such as recognizing visual patterns, doing mental computations, and reacting to threats.

Research into the attention-related demands of particular tasks became another way by which to approach the issue of where the attentional bottleneck is located.

This experiment reveals that there are significant differences among these factors in the operating times and/or error rates of particular tasks.

Furthermore, models of movement can be improved over time to best predict movements produced during execution of particular tasks.

These observations constrain accounts of the role of the basal ganglia in timing and suggest that different and neurally dissociable timing procedures are engaged depending on the demands of particular tasks.

Note that the task described here did not require participants to integrate features; therefore the obtained effects provide a relatively pure measure of automatic, implicit integration processes, free of particular task-dependent strategies [ 15].

For example, to examine how facial affect recognition influences performance of particular tasks involved in interpersonal interaction.

Our calibrated fMRI procedure was designed to compare the neurovascular coupling in task-specific activated areas with that found in DMN areas that tend to be deactive independent of particular tasks.

We can therefore distinguish Type I from Type II settings in terms of particular tasks being provided by agencies placed within the existing hierarchies (Type I), or by special agencies placed outside them (Type II).

These interactions have provided literature corpora with standard annotations for the evaluation of automated systems and have allowed better understanding of the underlying annotation process as well as characterization of particular tasks where text mining systems could play a role in improving the manual literature curation process.

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