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Measuring spike timing distance in the Hindmarsh–Rose neurons

Overview of attention for article published in Cognitive Neurodynamics, December 2017
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Title
Measuring spike timing distance in the Hindmarsh–Rose neurons
Published in
Cognitive Neurodynamics, December 2017
DOI 10.1007/s11571-017-9466-9
Pubmed ID
Authors

Jinjie Zhu, Xianbin Liu

Abstract

In the present paper, a simple spike timing distance is defined which can be used to measure the degree of synchronization with the information only encoded in the precise timing of the spike trains. Via calculating the spike timing distance defined in this paper, the spike train similarity of uncoupled Hindmarsh-Rose neurons in bursting or spiking states with different initial conditions is investigated and the results are compared with other spike train distance measures. Later, the spike timing distance measure is applied to study the synchronization of coupled or common noise-stimulated neurons. Counterintuitively, the addition of weak coupling or common noise doesn't enhance the degree of synchronization although after critical values, both of them can induce complete synchronizations. More interestingly, the common noise plays opposite roles for weak and strong enough couplings. Finally, it should be noted that the measure defined in this paper can be extended to measure large neuronal ensembles and the lag synchronization.

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The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Other 2 18%
Researcher 2 18%
Professor 1 9%
Unknown 4 36%
Readers by discipline Count As %
Engineering 3 27%
Neuroscience 1 9%
Physics and Astronomy 1 9%
Unknown 6 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 March 2018.
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#18,581,651
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Outputs from Cognitive Neurodynamics
#193
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Outputs of similar age
#330,047
of 442,074 outputs
Outputs of similar age from Cognitive Neurodynamics
#5
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