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首页> 外文期刊>Biophysical Chemistry: An International Journal Devoted to the Physical Chemistry of Biological Phenomena >Non-Gaussian noise optimized spiking activity of Hodgkin-Huxley neurons on random complex networks.
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Non-Gaussian noise optimized spiking activity of Hodgkin-Huxley neurons on random complex networks.

机译：非高斯噪声优化了Hodgkin-Huxley神经元在随机复杂网络上的尖峰活动。

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摘要

In this paper, we numerically study how the NGN's deviation q from Gaussian noise (q=1) affects the spike coherence and synchronization of 60 coupled Hodgkin-Huxley (HH) neurons driven by a periodic sinusoidal stimulus on random complex networks. It is found that the effect of the deviation depends on the network randomness p (the fraction of random shortcuts): for larger p (p>0.15), the spiking regularity keeps being improved with increasing q; while, for smaller p (p< 0.15), the spiking regularity can reach the best performance at an optimal intermediate q value, indicating the occurrence of "deviation-optimized spike coherence". The synchronization becomes enhanced with decreasing q, and the enhancing extent for a random HH neuron network is stronger than for a regular one. These behaviors show that the spike coherence and synchronization of the present HH neurons on random networks can be more strongly enhanced by various other types of external noise than by Gaussian noise, whereby the neuron firings may behave more periodically in time and more synchronously in space. Our results provide the constructive roles of the NGN on the spiking activity of the present system of HH neuron networks.
机译：在本文中，我们通过数值研究了NGN与高斯噪声（q = 1）的偏差q如何影响随机复杂网络上由周期正弦刺激驱动的60个耦合霍奇金-赫克斯利（HH）神经元的尖峰相干性和同步性。发现偏差的影响取决于网络随机性p（随机快捷方式的分数）：对于较大的p（p> 0.15），峰值规律随着q的增加而不断提高;而对于较小的p（p <0.15），尖峰规律性可以在最佳中间q值处达到最佳性能，这表明出现了“偏差优化尖峰相干”。随着q的减小，同步变得增强，并且随机HH神经元网络的增强程度要强于常规网络。这些行为表明，通过各种其他类型的外部噪声比通过高斯噪声，可以更加强烈地增强随机网络上当前HH神经元的尖峰相干性和同步性，从而使神经元触发在时间上更周期性，在空间上更同步。我们的结果提供了NGN在HH神经元网络当前系统的突跳活动中的建设性作用。

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