Department of Physics, Institute for Advanced Studies in Basic Sciences, Zanjan, Iran
Department of Physics, Institute for Advanced Studies in Basic Sciences, Zanjan, Iran.
Neural Comput. 2022 May 19;34(6):1425-1447. doi: 10.1162/neco_a_01500.
Neural oscillations provide a means for efficient and flexible communication among different brain areas. Understanding the mechanisms of the generation of brain oscillations is crucial to determine principles of communication and information transfer in the brain circuits. It is well known that the inhibitory neurons play a major role in the generation of oscillations in the gamma range, in pure inhibitory networks, or in the networks composed of excitatory and inhibitory neurons. In this study, we explore the impact of different parameters and, in particular, the delay in the transmission of the signals between the neurons, on the dynamics of inhibitory networks. We show that increasing delay in a reasonable range increases the synchrony and stabilizes the oscillations. Unstable gamma oscillations characterized by a highly variable amplitude of oscillations can be observed in an intermediate range of delays. We show that in this range of delays, other experimentally observed phenomena such as sparse firing, variable amplitude and period, and the correlation between the instantaneous amplitude and period could be observed. The results broaden our understanding of the mechanism of the generation of the gamma oscillations in the inhibitory networks, known as the ING (interneuron-gamma) mechanism.
神经振荡为不同脑区之间的高效和灵活的通信提供了一种手段。理解脑振荡产生的机制对于确定脑回路中通信和信息传递的原则至关重要。众所周知，抑制性神经元在γ范围内的振荡产生中、在纯抑制性网络中或在由兴奋性和抑制性神经元组成的网络中起着主要作用。在这项研究中，我们探讨了不同参数的影响，特别是神经元之间信号传输的延迟对抑制性网络动力学的影响。我们表明，在合理范围内增加延迟会增加同步性并稳定振荡。在延迟的中间范围内，可以观察到不稳定的γ振荡，其特征是振荡幅度高度可变。我们表明，在这个延迟范围内，可以观察到其他实验观察到的现象，如稀疏发射、幅度和周期的变化以及瞬时幅度和周期之间的相关性。这些结果拓宽了我们对抑制性网络中γ振荡产生机制的理解，即 ING（神经元-γ）机制。
