Systems Neuroscience, IDIBAPS, 08036 Barcelona, Spain; ICREA, 08010 Barcelona, Spain.
Università degli Studi di Milano, 20157 Milan, Italy.
Neuron. 2017 Jun 7;94(5):993-1001. doi: 10.1016/j.neuron.2017.05.015.
Slow oscillations have been suggested as the default emergent activity of the cortical network. This is a low complexity state that integrates neuronal, synaptic, and connectivity properties of the cortex. Shaped by variations of physiological parameters, slow oscillations provide information about the underlying healthy or pathological network. We review how this default activity is shaped, how it acts as a powerful attractor, and how getting out of it is necessary for the brain to recover the levels of complexity associated with conscious states. We propose that slow oscillations provide a robust unifying paradigm for the study of cortical function.
慢波振荡被认为是皮质网络的默认涌现活动。这是一种低复杂度的状态，整合了皮质的神经元、突触和连接特性。受生理参数变化的影响，慢波振荡提供了有关基础健康或病理网络的信息。我们回顾了这种默认活动是如何形成的，它如何作为一个强大的吸引子发挥作用，以及如何从中解脱出来对于大脑恢复与意识状态相关的复杂水平是必要的。我们提出，慢波振荡为皮质功能的研究提供了一个强大的统一范例。
