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An Analysis of Waves Underlying Grid Cell Firing in the Medial Enthorinal Cortex

Overview of attention for article published in The Journal of Mathematical Neuroscience, August 2017
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)

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Title
An Analysis of Waves Underlying Grid Cell Firing in the Medial Enthorinal Cortex
Published in
The Journal of Mathematical Neuroscience, August 2017
DOI 10.1186/s13408-017-0051-7
Pubmed ID
Authors

Mayte Bonilla-Quintana, Kyle C. A. Wedgwood, Reuben D. O’Dea, Stephen Coombes

Abstract

Layer II stellate cells in the medial enthorinal cortex (MEC) express hyperpolarisation-activated cyclic-nucleotide-gated (HCN) channels that allow for rebound spiking via an [Formula: see text] current in response to hyperpolarising synaptic input. A computational modelling study by Hasselmo (Philos. Trans. R. Soc. Lond. B, Biol. Sci. 369:20120523, 2013) showed that an inhibitory network of such cells can support periodic travelling waves with a period that is controlled by the dynamics of the [Formula: see text] current. Hasselmo has suggested that these waves can underlie the generation of grid cells, and that the known difference in [Formula: see text] resonance frequency along the dorsal to ventral axis can explain the observed size and spacing between grid cell firing fields. Here we develop a biophysical spiking model within a framework that allows for analytical tractability. We combine the simplicity of integrate-and-fire neurons with a piecewise linear caricature of the gating dynamics for HCN channels to develop a spiking neural field model of MEC. Using techniques primarily drawn from the field of nonsmooth dynamical systems we show how to construct periodic travelling waves, and in particular the dispersion curve that determines how wave speed varies as a function of period. This exhibits a wide range of long wavelength solutions, reinforcing the idea that rebound spiking is a candidate mechanism for generating grid cell firing patterns. Importantly we develop a wave stability analysis to show how the maximum allowed period is controlled by the dynamical properties of the [Formula: see text] current. Our theoretical work is validated by numerical simulations of the spiking model in both one and two dimensions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 33%
Researcher 7 29%
Student > Postgraduate 3 13%
Student > Master 2 8%
Student > Bachelor 1 4%
Other 1 4%
Unknown 2 8%
Readers by discipline Count As %
Neuroscience 4 17%
Mathematics 4 17%
Agricultural and Biological Sciences 4 17%
Computer Science 2 8%
Environmental Science 1 4%
Other 5 21%
Unknown 4 17%
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 29 March 2018.
All research outputs
#6,967,592
of 22,999,744 outputs
Outputs from The Journal of Mathematical Neuroscience
#12
of 80 outputs
Outputs of similar age
#110,047
of 316,647 outputs
Outputs of similar age from The Journal of Mathematical Neuroscience
#1
of 3 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 80 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 85% 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 316,647 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 64% 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