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The Monitoring and Control of Task Sequences in Human and Non-Human Primates

Overview of attention for article published in Frontiers in Systems Neuroscience, January 2016
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Title
The Monitoring and Control of Task Sequences in Human and Non-Human Primates
Published in
Frontiers in Systems Neuroscience, January 2016
DOI 10.3389/fnsys.2015.00185
Pubmed ID
Authors

Theresa M. Desrochers, Diana C. Burk, David Badre, David L. Sheinberg

Abstract

Our ability to plan and execute a series of tasks leading to a desired goal requires remarkable coordination between sensory, motor, and decision-related systems. Prefrontal cortex (PFC) is thought to play a central role in this coordination, especially when actions must be assembled extemporaneously and cannot be programmed as a rote series of movements. A central component of this flexible behavior is the moment-by-moment allocation of working memory and attention. The ubiquity of sequence planning in our everyday lives belies the neural complexity that supports this capacity, and little is known about how frontal cortical regions orchestrate the monitoring and control of sequential behaviors. For example, it remains unclear if and how sensory cortical areas, which provide essential driving inputs for behavior, are modulated by the frontal cortex during these tasks. Here, we review what is known about moment-to-moment monitoring as it relates to visually guided, rule-driven behaviors that change over time. We highlight recent human work that shows how the rostrolateral prefrontal cortex (RLPFC) participates in monitoring during task sequences. Neurophysiological data from monkeys suggests that monitoring may be accomplished by neurons that respond to items within the sequence and may in turn influence the tuning properties of neurons in posterior sensory areas. Understanding the interplay between proceduralized or habitual acts and supervised control of sequences is key to our understanding of sequential task execution. A crucial bridge will be the use of experimental protocols that allow for the examination of the functional homology between monkeys and humans. We illustrate how task sequences may be parceled into components and examined experimentally, thereby opening future avenues of investigation into the neural basis of sequential monitoring and control.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Mexico 1 <1%
Austria 1 <1%
Unknown 101 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 29%
Student > Ph. D. Student 19 18%
Student > Bachelor 12 12%
Student > Doctoral Student 7 7%
Student > Master 7 7%
Other 16 15%
Unknown 13 13%
Readers by discipline Count As %
Neuroscience 26 25%
Psychology 25 24%
Agricultural and Biological Sciences 7 7%
Medicine and Dentistry 6 6%
Engineering 5 5%
Other 13 13%
Unknown 22 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 March 2016.
All research outputs
#15,354,849
of 22,840,638 outputs
Outputs from Frontiers in Systems Neuroscience
#961
of 1,344 outputs
Outputs of similar age
#231,879
of 394,770 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#35
of 43 outputs
Altmetric has tracked 22,840,638 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,344 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 394,770 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.