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模拟神经元群体之间的折返信号导致其振荡活动的一致性。

Reentrant signaling among simulated neuronal groups leads to coherency in their oscillatory activity.

作者信息

Sporns O, Gally J A, Reeke G N, Edelman G M

机构信息

Neurosciences Institute, Rockefeller University, New York, NY 10021.

出版信息

Proc Natl Acad Sci U S A. 1989 Sep;86(18):7265-9. doi: 10.1073/pnas.86.18.7265.

DOI:10.1073/pnas.86.18.7265
PMID:2780571
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC298038/
Abstract

Recent experiments have revealed tightly synchronized oscillatory discharges in local assemblies of cortical neurons as well as phase coherency of oscillations at distant cortical sites. These findings are consistent with the theory of neuronal group selection, a population theory of brain function that is based on the properties of local groups of neurons. A set of computer simulations shows that cooperative interactions within and among neuronal groups can generate the observed phenomena. In the simulations, oscillations within neuronal groups are generated through local excitatory and inhibitory interactions. Different groups in general oscillate in an uncorrelated fashion. Coherency of the oscillatory activity of different neuronal groups depends crucially on reciprocal reentrant signaling and can reflect the spatial continuity of a stimulus. Separated or discontinuous features of a given stimulus can be transiently associated in a temporally coherent pattern through reentrant signaling between groups in networks responding to different aspects of that stimulus. A simulation of reentrant activity between arrays of neuronal groups selective for oriented lines and pattern motion displays cross-correlations between groups that are responsive to different parts of a stimulus contour if these parts move together. Such coherency among neuronal groups might be used in the discrimination of a stimulus from other stationary or differentially moving elements in a visual scene.

摘要

最近的实验揭示了皮质神经元局部集合中紧密同步的振荡放电,以及远距离皮质位点振荡的相位相干性。这些发现与神经元群选择理论一致,该理论是一种基于局部神经元群特性的脑功能群体理论。一组计算机模拟表明,神经元群内部和之间的协同相互作用可以产生观察到的现象。在模拟中,神经元群内的振荡是通过局部兴奋性和抑制性相互作用产生的。一般来说,不同的群以不相关的方式振荡。不同神经元群振荡活动的相干性关键取决于相互折返信号,并且可以反映刺激的空间连续性。给定刺激的分离或不连续特征可以通过响应该刺激不同方面的网络中群之间的折返信号,以时间相干模式暂时关联起来。对选择性响应定向线条和图案运动的神经元群阵列之间的折返活动进行模拟,如果刺激轮廓的不同部分一起移动,那么对刺激轮廓不同部分有反应的群之间会显示出互相关。神经元群之间的这种相干性可能用于在视觉场景中将刺激与其他静止或不同移动的元素区分开来。

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