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Intrinsic variability of latency to first-spike

Overview of attention for article published in Biological Cybernetics, April 2010
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

wikipedia
3 Wikipedia pages

Citations

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22 Dimensions

Readers on

mendeley
34 Mendeley
citeulike
1 CiteULike
Title
Intrinsic variability of latency to first-spike
Published in
Biological Cybernetics, April 2010
DOI 10.1007/s00422-010-0384-8
Pubmed ID
Authors

Wainrib Gilles, Thieullen Michèle, Pakdaman Khashayar

Abstract

The assessment of the variability of neuronal spike timing is fundamental to gain understanding of latency coding. Based on recent mathematical results, we investigate theoretically the impact of channel noise on latency variability. For large numbers of ion channels, we derive the asymptotic distribution of latency, together with an explicit expression for its variance. Consequences in terms of information processing are studied with Fisher information in the Morris-Lecar model. A competition between sensitivity to input and precision is responsible for favoring two distinct regimes of latencies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 9%
Israel 1 3%
Netherlands 1 3%
Unknown 29 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Researcher 8 24%
Professor 3 9%
Student > Bachelor 3 9%
Student > Postgraduate 3 9%
Other 6 18%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 32%
Engineering 7 21%
Neuroscience 4 12%
Computer Science 3 9%
Psychology 3 9%
Other 4 12%
Unknown 2 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 13 February 2022.
All research outputs
#7,579,758
of 23,114,117 outputs
Outputs from Biological Cybernetics
#188
of 681 outputs
Outputs of similar age
#34,947
of 95,731 outputs
Outputs of similar age from Biological Cybernetics
#1
of 5 outputs
Altmetric has tracked 23,114,117 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 681 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 33rd percentile – i.e., 33% 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 95,731 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 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