论文标题
具有兴奋性和抑制性单位的神经模型中的三临界行为
Tricritical behavior in a neural model with excitatory and inhibitory units
论文作者
论文摘要
尽管对临界动力学与大脑功能的相关性的支持正在增加，但就提倡的临界点的确切性质而言，一致性要少得多。因此，当前有相当多的理论努力集中在神经元网络模型中可以展示哪些机制以及哪种类型/s的过渡。在这个方向上，目前的工作描述了将抑制性神经元纳入集体动力学的一部分的效果。如我们所示，这导致了高度连接的网络和抑制性神经元的非零分数的三个临界点的显示。我们与相关的实验证据讨论了当前结果的关系。
While the support for the relevance of critical dynamics to brain function is increasing, there is much less agreement on the exact nature of the advocated critical point. Thus, a considerable number of theoretical efforts are currently concentrated on which mechanisms and what type/s of transition can be exhibited by neuronal networks models. In that direction, the present work describes the effect of incorporating a fraction of inhibitory neurons on the collective dynamics. As we show, this results in the appearence of a tricritical point for highly connected networks and non-zero fraction of inhibitory neurons. We discuss the relation of the present results with relevant experimental evidence.
