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A Topological Model of the Hippocampal Cell Assembly Network

Overview of attention for article published in Frontiers in Computational Neuroscience, June 2016
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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7 X users

Citations

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25 Dimensions

Readers on

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33 Mendeley
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Title
A Topological Model of the Hippocampal Cell Assembly Network
Published in
Frontiers in Computational Neuroscience, June 2016
DOI 10.3389/fncom.2016.00050
Pubmed ID
Authors

Andrey Babichev, Daoyun Ji, Facundo Mémoli, Yuri A. Dabaghian

Abstract

It is widely accepted that the hippocampal place cells' spiking activity produces a cognitive map of space. However, many details of this representation's physiological mechanism remain unknown. For example, it is believed that the place cells exhibiting frequent coactivity form functionally interconnected groups-place cell assemblies-that drive readout neurons in the downstream networks. However, the sheer number of coactive combinations is extremely large, which implies that only a small fraction of them actually gives rise to cell assemblies. The physiological processes responsible for selecting the winning combinations are highly complex and are usually modeled via detailed synaptic and structural plasticity mechanisms. Here we propose an alternative approach that allows modeling the cell assembly network directly, based on a small number of phenomenological selection rules. We then demonstrate that the selected population of place cell assemblies correctly encodes the topology of the environment in biologically plausible time, and may serve as a schematic model of the hippocampal network.

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X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 36%
Student > Master 6 18%
Researcher 6 18%
Student > Postgraduate 3 9%
Student > Doctoral Student 1 3%
Other 0 0%
Unknown 5 15%
Readers by discipline Count As %
Neuroscience 14 42%
Agricultural and Biological Sciences 6 18%
Computer Science 2 6%
Mathematics 2 6%
Physics and Astronomy 1 3%
Other 1 3%
Unknown 7 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 June 2016.
All research outputs
#8,403,899
of 26,728,046 outputs
Outputs from Frontiers in Computational Neuroscience
#420
of 1,506 outputs
Outputs of similar age
#107,677
of 320,767 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#9
of 41 outputs
Altmetric has tracked 26,728,046 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,506 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 71% 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 320,767 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 66% of its contemporaries.
We're also able to compare this research output to 41 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 73% of its contemporaries.