Neural criticality from effective latent variables
Neural criticality from effective latent variables
复制标题
来自有效潜变量的神经关键性
作者：
Mia C. Morrell;Ilya Nemenman;A. Sederberg
对神经活动数据中幂律的观察提出了一个有趣的概念，即大脑可能在临界状态下运行。这种临界状态的一个例子是“雪崩临界”，它已经在各种系统中观察到，包括培养的神经元，斑马鱼，啮齿动物皮层和人类EEG。最近，幂律也被观察到在活动粗粒化程序下的小鼠神经种群，它们被解释为神经活动耦合到多个潜在的动力学变量的结果。一个有趣的可能性是，雪崩临界性的出现是由于类似的机制。在这里，我们确定的条件下，潜在的动力学变量引起雪崩临界。我们发现，人口耦合到多个潜变量产生临界行为在更广泛的参数范围比那些耦合到一个单一的，准静态的潜变量，但在这两种情况下，雪崩临界观察模型参数没有微调。我们确定两个制度的雪崩，都是关键的，但不同的信息量进行有关的潜在变量。我们的研究结果表明，雪崩临界出现在神经系统中，其中的活动被有效地建模为人口驱动的一些动力学变量，这些变量可以推断出人口活动。
Observations of power laws in neural activity data have raised the intriguing notion that brains may operate in a critical state. One example of this critical state is ‘avalanche criticality’, which has been observed in various systems, including cultured neurons, zebrafish, rodent cortex, and human EEG. More recently, power laws were also observed in neural populations in the mouse under an activity coarse-graining procedure, and they were explained as a consequence of the neural activity being coupled to multiple latent dynamical variables. An intriguing possibility is that avalanche criticality emerges due to a similar mechanism. Here, we determine the conditions under which latent dynamical variables give rise to avalanche criticality. We find that populations coupled to multiple latent variables produce critical behavior across a broader parameter range than those coupled to a single, quasi-static latent variable, but in both cases, avalanche criticality is observed without fine-tuning of model parameters. We identify two regimes of avalanches, both critical but differing in the amount of information carried about the latent variable. Our results suggest that avalanche criticality arises in neural systems in which activity is effectively modeled as a population driven by a few dynamical variables and these variables can be inferred from the population activity.
影响因子：
8.6
作者：
Schwab DJ;Nemenman I;Mehta P
通讯作者：
Mehta P
影响因子：
2.5
作者：
Hahn, Gerald;Petermann, Thomas;Nikolic, Danko
通讯作者：
Nikolic, Danko