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Does the entorhinal cortex use the Fourier transform?

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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20 X users
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1 Facebook page
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1 Redditor

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82 Mendeley
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Title
Does the entorhinal cortex use the Fourier transform?
Published in
Frontiers in Computational Neuroscience, January 2013
DOI 10.3389/fncom.2013.00179
Pubmed ID
Authors

Jeff Orchard, Hao Yang, Xiang Ji

Abstract

Some neurons in the entorhinal cortex (EC) fire bursts when the animal occupies locations organized in a hexagonal grid pattern in their spatial environment. Place cells have also been observed, firing bursts only when the animal occupies a particular region of the environment. Both of these types of cells exhibit theta-cycle modulation, firing bursts in the 4-12 Hz range. Grid cells fire bursts of action potentials that precess with respect to the theta cycle, a phenomenon dubbed "theta precession." Various models have been proposed to explain these phenomena, and how they relate to navigation. Among the most promising are the oscillator interference models. The bank-of-oscillators model proposed by Welday et al. (2011) exhibits all these features. However, their simulations are based on theoretical oscillators, and not implemented entirely with spiking neurons. We extend their work in a number of ways. First, we place the oscillators in a frequency domain and reformulate the model in terms of Fourier theory. Second, this perspective suggests a division of labor for implementing spatial maps: position vs. map layout. The animal's position is encoded in the phases of the oscillators, while the spatial map shape is encoded implicitly in the weights of the connections between the oscillators and the read-out nodes. Third, it reveals that the oscillator phases all need to conform to a linear relationship across the frequency domain. Fourth, we implement a partial model of the EC using spiking leaky integrate-and-fire (LIF) neurons. Fifth, we devise new coupling mechanisms, enlightened by the global phase constraint, and show they are capable of keeping spiking neural oscillators in consistent formation. Our model demonstrates place cells, grid cells, and phase precession. The Fourier model also gives direction for future investigations, such as integrating sensory feedback to combat drift, or explaining why grid cells exist at all.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 4%
United States 3 4%
France 1 1%
Canada 1 1%
Netherlands 1 1%
Unknown 73 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 29%
Student > Master 15 18%
Researcher 11 13%
Student > Bachelor 7 9%
Professor 5 6%
Other 11 13%
Unknown 9 11%
Readers by discipline Count As %
Neuroscience 17 21%
Agricultural and Biological Sciences 16 20%
Computer Science 11 13%
Engineering 8 10%
Psychology 5 6%
Other 14 17%
Unknown 11 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 February 2021.
All research outputs
#2,999,002
of 26,296,035 outputs
Outputs from Frontiers in Computational Neuroscience
#112
of 1,490 outputs
Outputs of similar age
#28,397
of 294,349 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#10
of 139 outputs
Altmetric has tracked 26,296,035 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,490 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 92% 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 294,349 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.