In the present study, participants trained the NRT before sleep in order to create implicit neural representations of task material and performed a retest session after sleep, as reported in previous sleep studies with the NRT [26], [28].
Indeed, it is a general correlate of detecting mismatch between the representations of task-relevant features.
The present findings add to the growing number of studies demonstrating that GBA not only plays a role in sensory feature binding but may reflect representations of task-relevant stimulus attributes that are modulated by attention or memory processes (Jensen et al. 2007).
The concepts of experiment, process group, process, and task are introduced here to handle the representation of tasks that might be run in parallel or sequentially, and that might target the same or different systems.
De facto conventions exist for the graphical representation of tasks and the scheduling constraints that link them; however other constructs of the PROforma language have no conventional graphical representation.
Efficiency is in less computer memory usage, in fast computation of the equations, in singularity-free representation of task space, in robustness to numerical errors, and in compactness of the representations.
In a state of reduced prefrontal dopaminergic activity noise interferes with the ability of the system to maintain a representation of task-relevant information.
Considering the early activity in the ACC that was greater for non-coherent stimuli, we have proposed that the ACC is involved in contextual representation of task requirements, with these representations forming expectations that guide performance [22].
For the comparison of similar tasks, other than the different colour of border surrounding the task item, the only difference is the internal representation of task rule.
Such reward-related information would be crucial to the formulation of a declarative or explicit representation of task rules in reinforcement learning experiments.
A closely related idea is the 'global workspace' (Dehaene et al., 1998, 2003), a limited-capacity representation of task-relevant content for diverse kinds of behaviour.
