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Impacts of clustering on noise-induced spiking regularity in the excitatory neuronal networks of subnetworks.

Li H, Sun X, Xiao J - Front Comput Neurosci (2015)

Bottom Line: With the obtained simulation results, we find that spiking regularity of the neuronal networks has little variations with changing of R and S when M is fixed.However, cluster number M could reduce the spiking regularity to low level when the uniform neuronal network's spiking regularity is at high level.Combined the obtained results, we can see that clustering factors have little influences on the spiking regularity when the entire energy is fixed, which could be controlled by the averaged coupling strength and the averaged connection probability.

View Article: PubMed Central - PubMed

Affiliation: School of Science, Beijing University of Posts and Telecommunications Beijing, China.

ABSTRACT
In this paper, we investigate how clustering factors influent spiking regularity of the neuronal network of subnetworks. In order to do so, we fix the averaged coupling probability and the averaged coupling strength, and take the cluster number M, the ratio of intra-connection probability and inter-connection probability R, the ratio of intra-coupling strength and inter-coupling strength S as controlled parameters. With the obtained simulation results, we find that spiking regularity of the neuronal networks has little variations with changing of R and S when M is fixed. However, cluster number M could reduce the spiking regularity to low level when the uniform neuronal network's spiking regularity is at high level. Combined the obtained results, we can see that clustering factors have little influences on the spiking regularity when the entire energy is fixed, which could be controlled by the averaged coupling strength and the averaged connection probability.

No MeSH data available.


Related in: MedlinePlus

Dependence of spiking regularity of the uniform neuronal networks on the coupling strengthgfor various values of noise intensityD.
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Figure 2: Dependence of spiking regularity of the uniform neuronal networks on the coupling strengthgfor various values of noise intensityD.

Mentions: Dependence of spiking regularity of the uniform neuronal networks on the averaged coupling strength g for various values of noise intensity D are exhibited in Figure 2. From Figure 2, we can see that for each D, there exist some optimal values of g at which the uniform neuronal networks generate neuronal firing activities with higher spiking regularity. For example, when D = 0.015, with the averaged coupling strength g increasing, λ increases first and then decreases, with a maximum of λ appears at about g = 0.01.


Impacts of clustering on noise-induced spiking regularity in the excitatory neuronal networks of subnetworks.

Li H, Sun X, Xiao J - Front Comput Neurosci (2015)

Dependence of spiking regularity of the uniform neuronal networks on the coupling strengthgfor various values of noise intensityD.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4493390&req=5

Figure 2: Dependence of spiking regularity of the uniform neuronal networks on the coupling strengthgfor various values of noise intensityD.
Mentions: Dependence of spiking regularity of the uniform neuronal networks on the averaged coupling strength g for various values of noise intensity D are exhibited in Figure 2. From Figure 2, we can see that for each D, there exist some optimal values of g at which the uniform neuronal networks generate neuronal firing activities with higher spiking regularity. For example, when D = 0.015, with the averaged coupling strength g increasing, λ increases first and then decreases, with a maximum of λ appears at about g = 0.01.

Bottom Line: With the obtained simulation results, we find that spiking regularity of the neuronal networks has little variations with changing of R and S when M is fixed.However, cluster number M could reduce the spiking regularity to low level when the uniform neuronal network's spiking regularity is at high level.Combined the obtained results, we can see that clustering factors have little influences on the spiking regularity when the entire energy is fixed, which could be controlled by the averaged coupling strength and the averaged connection probability.

View Article: PubMed Central - PubMed

Affiliation: School of Science, Beijing University of Posts and Telecommunications Beijing, China.

ABSTRACT
In this paper, we investigate how clustering factors influent spiking regularity of the neuronal network of subnetworks. In order to do so, we fix the averaged coupling probability and the averaged coupling strength, and take the cluster number M, the ratio of intra-connection probability and inter-connection probability R, the ratio of intra-coupling strength and inter-coupling strength S as controlled parameters. With the obtained simulation results, we find that spiking regularity of the neuronal networks has little variations with changing of R and S when M is fixed. However, cluster number M could reduce the spiking regularity to low level when the uniform neuronal network's spiking regularity is at high level. Combined the obtained results, we can see that clustering factors have little influences on the spiking regularity when the entire energy is fixed, which could be controlled by the averaged coupling strength and the averaged connection probability.

No MeSH data available.


Related in: MedlinePlus