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局部场电位指示网络状态并解释神经元反应变异性。

Local field potentials indicate network state and account for neuronal response variability.

作者信息

Kelly Ryan C, Smith Matthew A, Kass Robert E, Lee Tai Sing

机构信息

Center for the Neural Basis of Cognition, Pittsburgh, PA, USA.

出版信息

J Comput Neurosci. 2010 Dec;29(3):567-79. doi: 10.1007/s10827-009-0208-9. Epub 2010 Jan 22.

DOI:10.1007/s10827-009-0208-9
PMID:20094906
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3604740/
Abstract

Multineuronal recordings have revealed that neurons in primary visual cortex (V1) exhibit coordinated fluctuations of spiking activity in the absence and in the presence of visual stimulation. From the perspective of understanding a single cell's spiking activity relative to a behavior or stimulus, these network fluctuations are typically considered to be noise. We show that these events are highly correlated with another commonly recorded signal, the local field potential (LFP), and are also likely related to global network state phenomena which have been observed in a number of neural systems. Moreover, we show that attributing a component of cell firing to these network fluctuations via explicit modeling of the LFP improves the recovery of cell properties. This suggests that the impact of network fluctuations may be estimated using the LFP, and that a portion of this network activity is unrelated to the stimulus and instead reflects ongoing cortical activity. Thus, the LFP acts as an easily accessible bridge between the network state and the spiking activity.

摘要

多神经元记录显示,在有无视觉刺激的情况下,初级视觉皮层(V1)中的神经元都表现出尖峰活动的协同波动。从理解单个细胞相对于行为或刺激的尖峰活动的角度来看,这些网络波动通常被视为噪声。我们表明,这些事件与另一个常用记录信号——局部场电位(LFP)高度相关,并且也可能与在许多神经系统中观察到的全局网络状态现象有关。此外,我们表明,通过对LFP进行显式建模,将细胞放电的一个成分归因于这些网络波动,可以提高细胞特性的恢复。这表明,可以使用LFP来估计网络波动的影响,并且这种网络活动的一部分与刺激无关,而是反映了正在进行的皮层活动。因此,LFP充当了网络状态和尖峰活动之间易于获取的桥梁。

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