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Spike-Timing Theory of Working Memory

Overview of attention for article published in PLoS Computational Biology, August 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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28 patents
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1 LinkedIn user

Citations

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118 Dimensions

Readers on

mendeley
469 Mendeley
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4 CiteULike
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Title
Spike-Timing Theory of Working Memory
Published in
PLoS Computational Biology, August 2010
DOI 10.1371/journal.pcbi.1000879
Pubmed ID
Authors

Botond Szatmáry, Eugene M. Izhikevich

Abstract

Working memory (WM) is the part of the brain's memory system that provides temporary storage and manipulation of information necessary for cognition. Although WM has limited capacity at any given time, it has vast memory content in the sense that it acts on the brain's nearly infinite repertoire of lifetime long-term memories. Using simulations, we show that large memory content and WM functionality emerge spontaneously if we take the spike-timing nature of neuronal processing into account. Here, memories are represented by extensively overlapping groups of neurons that exhibit stereotypical time-locked spatiotemporal spike-timing patterns, called polychronous patterns; and synapses forming such polychronous neuronal groups (PNGs) are subject to associative synaptic plasticity in the form of both long-term and short-term spike-timing dependent plasticity. While long-term potentiation is essential in PNG formation, we show how short-term plasticity can temporarily strengthen the synapses of selected PNGs and lead to an increase in the spontaneous reactivation rate of these PNGs. This increased reactivation rate, consistent with in vivo recordings during WM tasks, results in high interspike interval variability and irregular, yet systematically changing, elevated firing rate profiles within the neurons of the selected PNGs. Additionally, our theory explains the relationship between such slowly changing firing rates and precisely timed spikes, and it reveals a novel relationship between WM and the perception of time on the order of seconds.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 469 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 20 4%
Germany 14 3%
United Kingdom 9 2%
Switzerland 5 1%
Brazil 4 <1%
Japan 4 <1%
Netherlands 3 <1%
France 3 <1%
Canada 3 <1%
Other 21 4%
Unknown 383 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 129 28%
Researcher 109 23%
Student > Master 72 15%
Professor > Associate Professor 23 5%
Professor 20 4%
Other 75 16%
Unknown 41 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 98 21%
Computer Science 84 18%
Neuroscience 57 12%
Engineering 56 12%
Physics and Astronomy 41 9%
Other 80 17%
Unknown 53 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 19 February 2019.
All research outputs
#5,240,751
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#3,998
of 8,960 outputs
Outputs of similar age
#21,624
of 104,206 outputs
Outputs of similar age from PLoS Computational Biology
#20
of 60 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 55% 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 104,206 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 60 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 66% of its contemporaries.