Wang Yuan, Shi Xia, Si Bailu, Cheng Bo, Chen Junliang
Brain and Autonomous Intelligent Robots Lab, School of Systems Science, Beijing Normal University, Beijing, People's Republic of China.
School of Science, Beijing University of Posts and Telecommunications, Beijing, People's Republic of China.
Cogn Neurodyn. 2023 Jun;17(3):715-727. doi: 10.1007/s11571-022-09840-z. Epub 2022 Aug 2.
The effect of synaptic plasticity on the synchronization mechanism of the cerebral cortex has been a hot research topic over the past two decades. There are a great deal of literatures on excitatory pyramidal neurons, but the mechanism of interaction between the inhibitory interneurons is still under exploration. In this study, we consider a complex network consisting of excitatory (E) pyramidal neurons and inhibitory (I) interneurons interacting with chemical synapses through spike-timing-dependent plasticity (STDP). To study the effects of eSTDP and iSTDP on synchronization and oscillation behaviors emerged in an excitatory-inhibitory balanced network, we analyzed three different cases, a small-world network of purely excitatory neurons with eSTDP, a small-world network of purely inhibitory neurons with iSTDP and a small-world network with excitatory-inhibitory balanced neurons. By varying the number of inhibitory interneurons, and that of connected edges in a small-world network, and the coupling strength, these networks exhibit different synchronization and oscillation behaviors. We found that the eSTDP facilitates synchronization effectively, while iSTDP has no significant impact on it. In addition, eSTDP and iSTDP restrict the balance of the excitatory-inhibitory balanced neuronal network together and play a fundamental role in maintaining network stability and synchronization. They also can be used to guide the treatment and further research of neurodegenerative diseases.
在过去二十年中,突触可塑性对大脑皮层同步机制的影响一直是一个热门研究课题。关于兴奋性锥体神经元有大量文献,但抑制性中间神经元之间的相互作用机制仍在探索中。在本研究中,我们考虑一个由兴奋性(E)锥体神经元和抑制性(I)中间神经元组成的复杂网络,它们通过尖峰时间依赖可塑性(STDP)与化学突触相互作用。为了研究兴奋性STDP(eSTDP)和抑制性STDP(iSTDP)对兴奋性 - 抑制性平衡网络中出现的同步和振荡行为的影响,我们分析了三种不同情况:具有eSTDP的纯兴奋性神经元的小世界网络、具有iSTDP的纯抑制性神经元的小世界网络以及具有兴奋性 - 抑制性平衡神经元的小世界网络。通过改变抑制性中间神经元的数量、小世界网络中的连接边数量以及耦合强度,这些网络表现出不同的同步和振荡行为。我们发现eSTDP有效地促进了同步,而iSTDP对其没有显著影响。此外,eSTDP和iSTDP共同限制了兴奋性 - 抑制性平衡神经元网络的平衡,并在维持网络稳定性和同步方面发挥着重要作用。它们还可用于指导神经退行性疾病的治疗和进一步研究。