Zou Xiaolong, Wang Da-Hui
School of Systems Science, Beijing Normal UniversityBeijing, China; National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal UniversityBeijing, China.
Front Comput Neurosci. 2016 Dec 26;10:138. doi: 10.3389/fncom.2016.00138. eCollection 2016.
Characteristic phase shifts between discharges of pyramidal cells and interneurons in oscillation have been widely observed in experiments, and they have been suggested to play important roles in neural computation. Previous studies mainly explored two independent mechanisms to generate neural oscillation, one is based on the interaction loop between pyramidal cells and interneurons, referred to as the E-I loop, and the other is based on the interaction loop between interneurons, referred to as the I-I loop. In the present study, we consider neural networks consisting of both the E-I and I-I loops, and the network oscillation can operate under either E-I loop dominating mode or I-I loop dominating mode, depending on the network structure, and neuronal connection patterns. We found that the phase shift between pyramidal cells and interneurons displays different characteristics in different oscillation modes, and its amplitude varies with the network parameters. We expect that this study helps us to understand the structural characteristics of neural circuits underlying various oscillation behaviors observed in experiments.
在实验中已广泛观察到振荡时锥体细胞和中间神经元放电之间的特征性相位偏移，并且有人认为它们在神经计算中发挥重要作用。先前的研究主要探索了两种产生神经振荡的独立机制，一种基于锥体细胞和中间神经元之间的相互作用回路，称为E-I回路，另一种基于中间神经元之间的相互作用回路，称为I-I回路。在本研究中，我们考虑由E-I和I-I回路组成的神经网络，并且网络振荡可以在E-I回路主导模式或I-I回路主导模式下运行，这取决于网络结构和神经元连接模式。我们发现锥体细胞和中间神经元之间的相位偏移在不同的振荡模式下表现出不同的特征，并且其幅度随网络参数而变化。我们期望这项研究有助于我们理解实验中观察到的各种振荡行为背后的神经回路的结构特征。
