首页> 外文期刊>The European physical journal, B. Condensed matter physics >Firing activity of complex space-clamped FitzHugh-Nagumo neural networks
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Firing activity of complex space-clamped FitzHugh-Nagumo neural networks

机译:复杂的空间固定FitzHugh-Nagumo神经网络的射击活动

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摘要

We investigate how firing activity of complex neural networks depends on the random long-range connections and coupling strength. Network elements are described by excitable space-clamped FitzHugh-Nagumo (SCFHN) neurons with the values of parameters at which no firing activity occurs. It is found that for a given appropriate coupling strength C, there exists a critical fraction of random connections (or randomness) p*, such that if p > p* the firing neurons, which are absent in the nearest-neighbor network, occur. The firing activity becomes more frequent as randomness p is further increased. On the other hand, when the p is smaller, there are no active neurons in network, no matter what the value of C is. For a given larger p, there exist optimal coupling strength levels, where firing activity reaches its maximum. To the best of our knowledge, this is a novel mechanism for the emergence of firing activity in neurons.
机译:我们研究了复杂神经网络的激发活动如何取决于随机的远程连接和耦合强度。网络元素由可激发的空间固定FitzHugh-Nagumo(SCFHN)神经元描述,其参数值不发生激发活动。已经发现,对于给定的适当的耦合强度C,存在随机连接(或随机性)p *的临界部分,使得如果p> p *,则在最近邻居网络中不存在的发射神经元发生。随着随机性p的进一步增加,击发活动变得更加频繁。另一方面,当p较小时,无论C的值是多少,网络中都没有活动的神经元。对于给定的较大p,存在最佳耦合强度水平,在该水平上,击发活动达到最大。据我们所知,这是神经元放电活动出现的新机制。

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