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首页> 外文期刊>The European Journal of Neuroscience >Self-organization of repetitive spike patterns in developing neuronal networks in vitro.
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Self-organization of repetitive spike patterns in developing neuronal networks in vitro.

机译:在体外神经网络发展中的重复性尖峰模式的自组织。

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摘要

The appearance of spontaneous correlated activity is a fundamental feature of developing neuronal networks in vivo and in vitro. To elucidate whether the ontogeny of correlated activity is paralleled by the appearance of specific spike patterns we used a template-matching algorithm to detect repetitive spike patterns in multi-electrode array recordings from cultures of dissociated mouse neocortical neurons between 6 and 15 days in vitro (div). These experiments demonstrated that the number of spiking neurons increased significantly between 6 and 15 div, while a significantly synchronized network activity appeared at 9 div and became the main discharge pattern in the subsequent div. Repetitive spike patterns with a low complexity were first observed at 8 div. The number of repetitive spike patterns in each dataset as well as their complexity and recurrence increased during development in vitro. The number of links between neurons implicated in repetitive spike patterns, as well as their strength, showed a gradual increase during development. About 8% of the spike sequences contributed to more than one repetitive spike patterns and were classified as core patterns. These results demonstrate for the first time that defined neuronal assemblies, as represented by repetitive spike patterns, appear quite early during development in vitro, around the time synchronized network burst become the dominant network pattern. In summary, these findings suggest that dissociated neurons can self-organize into complex neuronal networks that allow reliable flow and processing of neuronal information already during early phases of development.
机译:自发相关活动的出现是体内和体外神经网络发展的基本特征。为了阐明相关活动的个体发育是否与特定峰值模式的出现平行,我们使用模板匹配算法在离体小鼠新皮层神经元神经元体外培养6到15天之间的多电极阵列记录中检测重复的峰值模式( div)。这些实验表明,尖峰神经元的数量在6到15 div之间显着增加,而在9 div处出现明显同步的网络活动,并成为随后div的主要放电模式。首先在8 div观察到具有低复杂度的重复峰值模式。在体外开发过程中,每个数据集中的重复峰值模式的数量及其复杂性和复发性都增加了。在重复的峰值模式中牵涉的神经元之间的链接数量及其强度在发育过程中逐渐增加。大约8%的尖峰序列贡献了一个以上的重复尖峰模式,被归类为核心模式。这些结果首次证明,以重复性尖峰模式为代表的神经元组装体在体外发育过程中相当早就出现了,大约在同步网络爆发成为主要网络模式的时候。总而言之,这些发现表明,分离的神经元可以自组织成复杂的神经元网络,从而使神经元信息已经可以在发育的早期可靠地流动和处理。

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