Self-regulated complexity in cultured neuronal networks

Eyal Hulata, Itay Baruchi, Ronen Segev, Yoash Shapira, Eshel Ben-Jacob

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

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.

Original languageEnglish GB
Article number198105
Pages (from-to)198105-1-198105-4
Number of pages1
JournalPhysical Review Letters
Volume92
Issue number19
DOIs
StatePublished - 14 May 2004
Externally publishedYes

ASJC Scopus subject areas

  • General Physics and Astronomy

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