The relationship between complex brain oscillations and the dynamics of individual neurons is poorly understood. Here we utilize maximum caliber, a dynamical inference principle, to build a minimal yet general model of the collective (mean field) dynamics of large populations of neurons. In agreement with previous experimental observations, we describe a simple, testable mechanism, involving only a single type of neuron, by which many of these complex oscillatory patterns may emerge. Our model predicts that the refractory period of neurons, which has often been neglected, is essential for these behaviors.

中文翻译：

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不应期很重要：宏观脑电波的统一机制

复杂的大脑振荡与单个神经元动力学之间的关系知之甚少。在这里，我们利用最大口径（一种动态推理原理）来构建大量神经元的集体（平均场）动力学的最小但通用的模型。与之前的实验观察一致，我们描述了一个简单的、可测试的机制，只涉及单一类型的神经元，其中许多复杂的振荡模式可能会出现。我们的模型预测，经常被忽视的神经元不应期对于这些行为至关重要。