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抑制性爆发神经元的无标度网络中的簇爆发同步

Cluster burst synchronization in a scale-free network of inhibitory bursting neurons.

作者信息

Kim Sang-Yoon, Lim Woochang

机构信息

Institute for Computational Neuroscience and Department of Science Education, Daegu National University of Education, Daegu, 42411 Korea.

出版信息

Cogn Neurodyn. 2020 Feb;14(1):69-94. doi: 10.1007/s11571-019-09546-9. Epub 2019 Jul 10.

Abstract

We consider a scale-free network of inhibitory Hindmarsh-Rose (HR) bursting neurons, and make a computational study on coupling-induced cluster burst synchronization by varying the average coupling strength . For sufficiently small , non-cluster desynchronized states exist. However, when passing a critical point , the whole population is segregated into 3 clusters via a constructive role of synaptic inhibition to stimulate dynamical clustering between individual burstings, and thus 3-cluster desynchronized states appear. As is further increased and passes a lower threshold , a transition to 3-cluster burst synchronization occurs due to another constructive role of synaptic inhibition to favor population synchronization. In this case, HR neurons in each cluster make burstings every 3rd cycle of the instantaneous burst rate of the whole population, and exhibit burst synchronization. However, as passes an intermediate threshold , HR neurons fire burstings intermittently at a 4th cycle of via burst skipping rather than at its 3rd cycle, and hence they begin to make intermittent hoppings between the 3 clusters. Due to such intermittent intercluster hoppings via burst skippings, the 3 clusters become broken up (i.e., the 3 clusters are integrated into a single one). However, in spite of such break-up (i.e., disappearance) of the 3-cluster states, (non-cluster) burst synchronization persists in the whole population, which is well visualized in the raster plot of burst onset times where bursting stripes (composed of burst onset times and indicating burst synchronization) appear successively. With further increase in , intercluster hoppings are intensified, and bursting stripes also become dispersed more and more due to a destructive role of synaptic inhibition to spoil the burst synchronization. Eventually, when passing a higher threshold a transition to desynchronization occurs via complete overlap between the bursting stripes. Finally, we also investigate the effects of stochastic noise on both 3-cluster burst synchronization and intercluster hoppings.

摘要

我们考虑一个由抑制性 Hindmarsh-Rose(HR)爆发神经元组成的无标度网络,并通过改变平均耦合强度 对耦合诱导的簇爆发同步进行计算研究。对于足够小的 ,存在非簇去同步状态。然而,当超过临界点 时,通过突触抑制的建设性作用来刺激单个爆发之间的动态聚类,整个群体被分离为 3 个簇,从而出现 3 簇去同步状态。随着 进一步增加并超过较低阈值 ,由于突触抑制的另一个建设性作用有利于群体同步,会发生向 3 簇爆发同步的转变。在这种情况下,每个簇中的 HR 神经元在整个群体的瞬时爆发率 的第 3 个周期进行爆发,并表现出爆发同步。然而,当 超过中间阈值 时,HR 神经元通过爆发跳跃在 的第 4 个周期间歇性地爆发,而不是在第 3 个周期,因此它们开始在 3 个簇之间进行间歇性跳跃。由于通过爆发跳跃的这种间歇性簇间跳跃,3 个簇被打破(即,3 个簇被整合为一个)。然而,尽管 3 簇状态出现这种破裂(即消失),(非簇)爆发同步在整个群体中仍然持续,这在爆发起始时间的光栅图中可以很好地看到,其中爆发条纹(由爆发起始时间组成并表示爆发同步)相继出现。随着 进一步增加,簇间跳跃加剧,并且由于突触抑制的破坏作用破坏爆发同步,爆发条纹也变得越来越分散。最终,当超过更高阈值 时,通过爆发条纹的完全重叠发生向去同步的转变。最后,我们还研究了随机噪声对 3 簇爆发同步和簇间跳跃的影响。

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