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培养的神经元网络活动模式中的持续动态吸引子

Persistent dynamic attractors in activity patterns of cultured neuronal networks.

作者信息

Wagenaar Daniel A, Nadasdy Zoltan, Potter Steve M

机构信息

Department of Physics, California Institute of Technology, Pasadena, California 91125, USA.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2006 May;73(5 Pt 1):051907. doi: 10.1103/PhysRevE.73.051907. Epub 2006 May 11.

DOI:10.1103/PhysRevE.73.051907
PMID:16802967
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2570189/
Abstract

Three remarkable features of the nervous system--complex spatiotemporal patterns, oscillations, and persistent activity--are fundamental to such diverse functions as stereotypical motor behavior, working memory, and awareness. Here we report that cultured cortical networks spontaneously generate a hierarchical structure of periodic activity with a strongly stereotyped population-wide spatiotemporal structure demonstrating all three fundamental properties in a recurring pattern. During these "superbursts," the firing sequence of the culture periodically converges to a dynamic attractor orbit. Precursors of oscillations and persistent activity have previously been reported as intrinsic properties of the neurons. However, complex spatiotemporal patterns that are coordinated in a large population of neurons and persist over several hours--and thus are capable of representing and preserving information--cannot be explained by known oscillatory properties of isolated neurons. Instead, the complexity of the observed spatiotemporal patterns implies large-scale self-organization of neurons interacting in a precise temporal order even in vitro, in cultures usually considered to have random connectivity.

摘要

神经系统的三个显著特征——复杂的时空模式、振荡和持续活动——对于诸如刻板运动行为、工作记忆和意识等多种功能至关重要。在此我们报告,培养的皮层网络自发产生周期性活动的层次结构,具有强烈刻板的全群体时空结构,以循环模式展示了所有这三个基本特性。在这些“超级爆发”期间,培养物的放电序列周期性地收敛到一个动态吸引子轨道。振荡和持续活动的前体先前已被报道为神经元的内在特性。然而,在大量神经元中协调且持续数小时——因而能够表征和保存信息——的复杂时空模式,无法用孤立神经元的已知振荡特性来解释。相反,观察到的时空模式的复杂性意味着,即使在通常被认为具有随机连接性的体外培养物中,神经元也会以精确的时间顺序相互作用,从而实现大规模的自我组织。