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Persistent dynamic attractors in activity patterns of cultured neuronal networks

机译:培养的神经元网络活动模式中的持久性动态吸引子

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摘要

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.
机译:神经系统的三个显着特征-复杂的时空模式,振动和持续活动-是定型运动行为,工作记忆和意识等多种功能的基础。在这里,我们报告说,培养的皮质网络自发地产生周期性活动的层次结构,具有强烈刻板的人群范围的时空结构,以周期性的形式展示了所有三个基本特性。在这些“超级爆发”期间,培养物的发射顺序会定期收敛到动态吸引子轨道。振荡和持续活动的前体先前已被报道为神经元的固有特性。但是,复杂的时空模式在大量的神经元中协调并持续数小时,因此能够表示和保存信息,因此无法通过孤立的神经元的已知振荡特性来解释。取而代之的是,观察到的时空模式的复杂性意味着在通常被认为具有随机连通性的文化中,即使在体外,神经元也会以精确的时间顺序进行交互作用的大规模自组织。

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