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Neural Sequence Generation Using Spatiotemporal Patterns of Inhibition

Overview of attention for article published in PLoS Computational Biology, November 2015
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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)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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2 news outlets
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4 X users

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92 Mendeley
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4 CiteULike
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Article details
Title
Neural Sequence Generation Using Spatiotemporal Patterns of Inhibition
Published in
PLoS Computational Biology, November 2015
DOI 10.1371/journal.pcbi.1004581
Pubmed ID
Authors
Abstract

Stereotyped sequences of neural activity are thought to underlie reproducible behaviors and cognitive processes ranging from memory recall to arm movement. One of the most prominent theoretical models of neural sequence generation is the synfire chain, in which pulses of synchronized spiking activity propagate robustly along a chain of cells connected by highly redundant feedforward excitation. But recent experimental observations in the avian song production pathway during song generation have shown excitatory activity interacting strongly with the firing patterns of inhibitory neurons, suggesting a process of sequence generation more complex than feedforward excitation. Here we propose a model of sequence generation inspired by these observations in which a pulse travels along a spatially recurrent excitatory chain, passing repeatedly through zones of local feedback inhibition. In this model, synchrony and robust timing are maintained not through redundant excitatory connections, but rather through the interaction between the pulse and the spatiotemporal pattern of inhibition that it creates as it circulates the network. These results suggest that spatially and temporally structured inhibition may play a key role in sequence generation.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 2 2%
United States 1 1%
France 1 1%
Germany 1 1%
Switzerland 1 1%
Unknown 86 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 27 29%
Student > Ph. D. Student 22 24%
Student > Master 9 10%
Student > Doctoral Student 6 7%
Student > Bachelor 5 5%
Other 12 13%
Unknown 11 12%
Readers by discipline
Readers by discipline Count As %
Neuroscience 30 33%
Agricultural and Biological Sciences 19 21%
Computer Science 7 8%
Engineering 5 5%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 12 13%
Unknown 15 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 30 March 2023.
All research outputs
#2,681,285
of 34,362,729 outputs
Outputs from PLoS Computational Biology
#1,941
of 10,410 outputs
Outputs of similar age
#29,642
of 322,592 outputs
Outputs of similar age from PLoS Computational Biology
#50
of 194 outputs
Altmetric has tracked 34,362,729 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,410 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.7. This one has done well, scoring higher than 81% 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 322,592 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 194 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 74% of its contemporaries.