Pretel Jorge, Torres Joaquín J, Marro Joaquín
Institute "Carlos I" for Theoretical and Computational Physics, University of Granada, E-18071 Granada, Spain.
Biology (Basel). 2021 Jul 11;10(7):647. doi: 10.3390/biology10070647.
We here study a network of synaptic relations mingling excitatory and inhibitory neuron nodes that displays oscillations quite similar to electroencephalogram (EEG) brain waves, and identify abrupt variations brought about by swift synaptic mediations. We thus conclude that corresponding changes in EEG series surely come from the slowdown of the activity in neuron populations due to synaptic restrictions. The latter happens to generate an imbalance between excitation and inhibition causing a quick explosive increase of excitatory activity, which turns out to be a (first-order) transition among dynamic mental phases. Moreover, near this phase transition, our model system exhibits waves with a strong component in the so-called that coexist with fast oscillations. These findings provide a simple explanation for the observed and in actual brains, and open a serious and versatile path to understand deeply large amounts of apparently erratic, easily accessible brain data.
我们在此研究一个由兴奋性和抑制性神经元节点混合而成的突触关系网络，该网络显示出与脑电图（EEG）脑电波非常相似的振荡，并识别由快速突触介导引起的突然变化。因此，我们得出结论，EEG序列中的相应变化肯定来自于由于突触限制导致的神经元群体活动放缓。后者恰好会在兴奋和抑制之间产生失衡，从而导致兴奋活动的快速爆发性增加，这被证明是动态心理阶段之间的（一阶）转变。此外，在这个相变附近，我们的模型系统展示出在所谓的 中具有强成分的波，这些波与快速振荡共存。这些发现为实际大脑中观察到的 和 提供了一个简单的解释，并为深入理解大量明显不稳定、易于获取的脑数据开辟了一条严肃且通用的途径。
