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Neural field simulator: two-dimensional spatio-temporal dynamics involving finite transmission speed

Overview of attention for article published in Frontiers in Neuroinformatics, October 2015
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Title
Neural field simulator: two-dimensional spatio-temporal dynamics involving finite transmission speed
Published in
Frontiers in Neuroinformatics, October 2015
DOI 10.3389/fninf.2015.00025
Pubmed ID
Authors

Eric J. Nichols, Axel Hutt

Abstract

Neural Field models (NFM) play an important role in the understanding of neural population dynamics on a mesoscopic spatial and temporal scale. Their numerical simulation is an essential element in the analysis of their spatio-temporal dynamics. The simulation tool described in this work considers scalar spatially homogeneous neural fields taking into account a finite axonal transmission speed and synaptic temporal derivatives of first and second order. A text-based interface offers complete control of field parameters and several approaches are used to accelerate simulations. A graphical output utilizes video hardware acceleration to display running output with reduced computational hindrance compared to simulators that are exclusively software-based. Diverse applications of the tool demonstrate breather oscillations, static and dynamic Turing patterns and activity spreading with finite propagation speed. The simulator is open source to allow tailoring of code and this is presented with an extension use case.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 35%
Researcher 4 20%
Lecturer 1 5%
Student > Bachelor 1 5%
Student > Master 1 5%
Other 3 15%
Unknown 3 15%
Readers by discipline Count As %
Neuroscience 3 15%
Computer Science 3 15%
Physics and Astronomy 2 10%
Engineering 2 10%
Agricultural and Biological Sciences 1 5%
Other 4 20%
Unknown 5 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 November 2015.
All research outputs
#14,827,133
of 22,830,751 outputs
Outputs from Frontiers in Neuroinformatics
#516
of 749 outputs
Outputs of similar age
#156,495
of 283,131 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#6
of 6 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 749 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 283,131 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.