Johnson Hope A, Buonomano Dean V
Department of Neurobiology, University of California, Los Angeles, Los Angeles, California 90095, USA.
J Neurosci. 2007 May 30;27(22):5915-25. doi: 10.1523/JNEUROSCI.0447-07.2007.
Cortical computations are an emergent property of neural dynamics. To understand how neural dynamics emerges within local cortical networks, we characterized the development and underlying mechanisms of spontaneous dynamics in cortical organotypic slices. We observed not only a quantitative increase in the levels of spontaneous dynamics, but a qualitative transition from brief bursts of activity to well defined Up states during the first 4 weeks in vitro. Analysis of cellular and synaptic properties indicates that these changes are driven by increasing excitatory drive accompanied by changes in the balance of excitation and inhibition. Examination of the structure of spontaneous dynamics revealed no evidence of precisely repeating patterns. Slices exposed to chronic patterned stimulation exhibited decreased levels of spontaneous activity, suggesting homeostatic control of the levels of network activity. Together, these results suggest that Up states reflect a fundamental mode of network dynamics that emerges through the orchestrated regulation of multiple cellular and synaptic properties in parallel.
皮层计算是神经动力学的一种涌现特性。为了理解神经动力学如何在局部皮层网络中出现,我们对皮层器官型切片中自发动力学的发展及潜在机制进行了表征。我们不仅观察到自发动力学水平的定量增加,还观察到在体外培养的前4周内,自发活动从短暂的爆发式转变为明确的Up状态的定性转变。对细胞和突触特性的分析表明,这些变化是由兴奋性驱动的增加以及兴奋与抑制平衡的改变所驱动的。对自发动力学结构的检查未发现精确重复模式的证据。暴露于慢性模式刺激的切片表现出自发活动水平降低,这表明对网络活动水平存在稳态控制。这些结果共同表明,Up状态反映了一种基本的网络动力学模式,它通过对多种细胞和突触特性的并行协调调节而出现。