Self-regulated complexity in cultured neuronal networks

被引：27

作者：

Hulata, E ^{[1
]}

Baruchi, I ^{[1
]}

Segev, R ^{[1
]}

Shapira, Y ^{[1
]}

Ben-Jacob, E ^{[1
]}

机构：

[1] Tel Aviv Univ, Raymond & Beverly Sackler Fac Exact Sci, Sch Phys & Astron, IL-69978 Tel Aviv, Israel

来源：

PHYSICAL REVIEW LETTERS | 2004年 / 92卷 / 19期

关键词：

D O I：

10.1103/PhysRevLett.92.198105

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

New quantified observables of complexity are identified and utilized to study sequences ( time series) recorded during the spontaneous activity of different size cultured networks. The sequence is mapped into a tiled time-frequency domain that maximizes the information about local time-frequency resolutions. The sequence regularity is associated with the domain homogeneity and its complexity with its local and global variations. Shuffling the recorded sequence lowers its complexity down to artificially constructed ones. The new observables are utilized to identify self-regulation motifs in observed complex network activity.

引用

页码：198105 / 1

页数：4

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