论文标题
通过皮质状态的最大熵分析揭示了大脑临界性的签名
Signatures of brain criticality unveiled by maximum entropy analysis across cortical states
论文作者
论文摘要
最近有报道说，从神经元雪崩的分布中获得的大脑关键性的统计标志可以取决于皮质状态。我们采用最大的熵模型来测试尿电烷 - 麻醉的大鼠是否出现临界签名，以完全不同且独立的方法重新审视这些主张。为了说明皮质状态的自发变化，我们解析了时间序列并执行最大熵分析，这是人口峰值活动的变异性的函数。为了将数据集与不同数量的神经元进行比较，我们定义了一个归一化的临界距离，该距离考虑了特定热曲线的峰值和宽度。我们发现，按动物基于动物，归一化距离对皮质状态的归一化距离的普遍崩溃。这表明峰值变异性中间值的通用动力学和临界点。
It has recently been reported that statistical signatures of brain criticality, obtained from distributions of neuronal avalanches, can depend on the cortical state. We revisit these claims with a completely different and independent approach, employing a maximum entropy model to test whether signatures of criticality appear in urethane-anesthetized rats. To account for the spontaneous variation of cortical state, we parse the time series and perform the maximum entropy analysis as a function of the variability of the population spiking activity. To compare data sets with different number of neurons, we define a normalized distance to criticality that takes into account the peak and width of the specific heat curve. We found an universal collapse of the normalized distance to criticality dependence on the cortical state on an animal by animal basis. This indicates a universal dynamics and a critical point at an intermediate value of spiking variability.
