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Neural Networks for Time Perception and Working Memory

Overview of attention for article published in Frontiers in Human Neuroscience, February 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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174 Mendeley
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Title
Neural Networks for Time Perception and Working Memory
Published in
Frontiers in Human Neuroscience, February 2017
DOI 10.3389/fnhum.2017.00083
Pubmed ID
Authors

Sertaç Üstün, Emre H. Kale, Metehan Çiçek

Abstract

Time is an important concept which determines most human behaviors, however questions remain about how time is perceived and which areas of the brain are responsible for time perception. The aim of this study was to evaluate the relationship between time perception and working memory in healthy adults. Functional magnetic resonance imaging (fMRI) was used during the application of a visual paradigm. In all of the conditions, the participants were presented with a moving black rectangle on a gray screen. The rectangle was obstructed by a black bar for a time period and then reappeared again. During different conditions, participants (n = 15, eight male) responded according to the instructions they were given, including details about time and the working memory or dual task requirements. The results showed activations in right dorsolateral prefrontal and right intraparietal cortical networks, together with the anterior cingulate cortex (ACC), anterior insula and basal ganglia (BG) during time perception. On the other hand, working memory engaged the left prefrontal cortex, ACC, left superior parietal cortex, BG and cerebellum activity. Both time perception and working memory were related to a strong peristriate cortical activity. On the other hand, the interaction of time and memory showed activity in the intraparietal sulcus (IPS) and posterior cingulate cortex (PCC). These results support a distributed neural network based model for time perception and that the intraparietal and posterior cingulate areas might play a role in the interface of memory and timing.

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X Demographics

The data shown below were collected from the profiles of 11 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 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 174 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 16%
Student > Bachelor 24 14%
Student > Ph. D. Student 20 11%
Researcher 19 11%
Student > Doctoral Student 13 7%
Other 19 11%
Unknown 51 29%
Readers by discipline Count As %
Psychology 43 25%
Neuroscience 40 23%
Medicine and Dentistry 9 5%
Computer Science 4 2%
Engineering 4 2%
Other 17 10%
Unknown 57 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 October 2022.
All research outputs
#5,917,449
of 24,226,848 outputs
Outputs from Frontiers in Human Neuroscience
#2,280
of 7,440 outputs
Outputs of similar age
#90,612
of 315,653 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#65
of 197 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,440 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has gotten more attention than average, scoring higher than 69% of its peers.
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 315,653 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 197 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.