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Therefore, we see relational thinking as implicated in the selection and execution of mental computation strategies, and as such, is a central component of mental computation.
Basal ganglia form a complex neural network involved in the selection and execution of action through interactions with multiple brain areas that process sensorimotor, emotional and cognitive information [1].
It has been known for several decades that dopamine neurotransmission in the nucleus accumbens is integrally involved in the selection and execution of motivated and goal-directed behaviors, and that psychostimulants act on this system to exert many of their effects.
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Phasic dopamine signaling often occurs in response to cues predicting drug availability and is directly linked to the selection and execution of goal-directed movement.
This bias enhances the selection and efficient execution of good behavioural choices, and is thought to underlie adaptive goal-directed activity, reasoning and decision-making in real life social contexts.
In this paper, we introduce the risk evaluation model tailored for workflow structure to measure and achieve the trade-off between the overhead of backup storage and the cost of data regeneration in failure, making the service selection and execution more efficient and robust.
To this end, we have developed an automated system that estimates the paw pose using an anatomical paw model and recorded video images from six different image planes in rats chronically implanted with recording electrodes in neuronal circuits involved in selection and execution of forelimb movements.
As used by two of the authors in a previous study [18], RTs were normalized by dividing RTs to self/other faces by RTs to scrambled images to rule out the influence of difference in response selection and execution between different blocks.
However, Schluter et al. [35] found a different effect of TMS on the premotor and motor areas suggesting differentiated network involved in movement selection and execution.
In other cognitive models, such as ACT-R or EPIC, the cognition phase includes the matching, selection and execution of production rules [64], [65].
Attention is currently mostly defined from an information-processing point of view, stressing the need for selection of information by a system that is capacity limited and largely serial in its central processing stages and in response selection and execution (Pashler, 1998).
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