Burst detection algorithms for the analysis of spatio-temporal patterns in cortical networks of neurons
Burst detection algorithms for the analysis of spatio-temporal patterns in cortical networks of neurons
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DOI：
10.1016/j.neucom.2004.10.094
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发表时间：
2005-06-01
期刊：
影响因子：
6
通讯作者：
van Pelt, J
中科院分区：
文献类型：
--
作者：
Chiappalone, M;Novellino, A;van Pelt, J
从发育中的大鼠中枢神经系统中提取的皮质神经元进行培养，几天后表现出自发活动，并呈现从随机放电到同步爆发的典型电生理模式。使用微电极阵列(MEA)，在其上可以生长分离的培养物进行长期测量，我们记录了发育过程中皮质网络的电生理活动，以监测它们在成熟过程的不同阶段的反应。采用检测和分析单通道脉冲串和多通道脉冲串同步网络脉冲的算法，揭示了在发展过程的不同阶段发射动力学的显著变化。(C)2004爱思唯尔B.V.保留所有权利。
Cortical neurons extracted from the developing rat central nervous system and put in culture, show, after a few days, spontaneous activity with a typical electrophysiological pattern ranging from stochastic spiking to synchronized bursting. Using microelectrode arrays (MEA), on which dissociated cultures can be grown for long-term measurements, we recorded the electrophysiological activity of cortical networks during development, in order to monitor their responses at different stages of the maturation process. Employing algorithms for detection and analysis of bursts in single-channel spike trains and of synchronized network bursts in multi-channel spike trains, significant changes have been revealed in the firing dynamics at different stages of the developmental process. (c) 2004 Elsevier B.V. All rights reserved.