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From A to Z: a potential role for grid cells in spatial navigation

Overview of attention for article published in Neural Systems & Circuits, May 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

twitter
4 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
83 Mendeley
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Title
From A to Z: a potential role for grid cells in spatial navigation
Published in
Neural Systems & Circuits, May 2012
DOI 10.1186/2042-1001-2-6
Pubmed ID
Authors

Caswell Barry, Daniel Bush

Abstract

Since their discovery, the strikingly regular and spatially stable firing of entorhinal grid cells has attracted the attention of experimentalists and theoreticians alike. The bulk of this work has focused either on the assumption that the principal role of grid cells is to support path integration or the extent to which their multiple firing locations can drive the sparse activity of hippocampal place cells. Here, we propose that grid cells are best understood as part of a network that combines self-motion and environmental cues to accurately track an animal's location in space. Furthermore, that grid cells - more so than place cells - efficiently encode self-location in allocentric coordinates. Finally, that the regular structure of grid firing fields represents information about the relative structure of space and, as such, may be used to guide goal directed navigation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 4%
Netherlands 2 2%
Canada 2 2%
Norway 1 1%
France 1 1%
Iran, Islamic Republic of 1 1%
United States 1 1%
Unknown 72 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 28%
Student > Master 15 18%
Researcher 14 17%
Student > Bachelor 10 12%
Student > Postgraduate 6 7%
Other 11 13%
Unknown 4 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 30%
Neuroscience 14 17%
Medicine and Dentistry 12 14%
Psychology 8 10%
Computer Science 7 8%
Other 13 16%
Unknown 4 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 02 November 2014.
All research outputs
#7,054,347
of 25,728,855 outputs
Outputs from Neural Systems & Circuits
#12
of 20 outputs
Outputs of similar age
#47,281
of 179,484 outputs
Outputs of similar age from Neural Systems & Circuits
#1
of 3 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 20 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one scored the same or higher as 8 of them.
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 179,484 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 73% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them