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Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons

Overview of attention for article published in Journal of Computational Neuroscience, May 2000
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  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 329)
  • High Attention Score compared to outputs of the same age (95th percentile)

Citations

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1530 Dimensions

Readers on

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673 Mendeley
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12 CiteULike
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1 Connotea
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Title
Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons
Published in
Journal of Computational Neuroscience, May 2000
DOI 10.1023/a:1008925309027
Pubmed ID
Authors

Nicolas Brunel

Abstract

The dynamics of networks of sparsely connected excitatory and inhibitory integrate-and-fire neurons are studied analytically. The analysis reveals a rich repertoire of states, including synchronous states in which neurons fire regularly; asynchronous states with stationary global activity and very irregular individual cell activity; and states in which the global activity oscillates but individual cells fire irregularly, typically at rates lower than the global oscillation frequency. The network can switch between these states, provided the external frequency, or the balance between excitation and inhibition, is varied. Two types of network oscillations are observed. In the fast oscillatory state, the network frequency is almost fully controlled by the synaptic time scale. In the slow oscillatory state, the network frequency depends mostly on the membrane time constant. Finite size effects in the asynchronous state are also discussed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 673 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 10 1%
France 9 1%
United States 7 1%
Germany 7 1%
Switzerland 5 <1%
Spain 3 <1%
Norway 2 <1%
Russia 2 <1%
Brazil 1 <1%
Other 9 1%
Unknown 618 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 208 31%
Researcher 119 18%
Student > Master 107 16%
Student > Bachelor 51 8%
Student > Doctoral Student 28 4%
Other 87 13%
Unknown 73 11%
Readers by discipline Count As %
Neuroscience 172 26%
Agricultural and Biological Sciences 129 19%
Physics and Astronomy 77 11%
Computer Science 66 10%
Engineering 61 9%
Other 75 11%
Unknown 93 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 02 August 2023.
All research outputs
#2,417,484
of 25,371,288 outputs
Outputs from Journal of Computational Neuroscience
#11
of 329 outputs
Outputs of similar age
#2,027
of 40,855 outputs
Outputs of similar age from Journal of Computational Neuroscience
#1
of 2 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 329 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 96% 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 40,855 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 95% of its contemporaries.
We're also able to compare this research output to 2 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