Self-Regulated Complexity in Cultured Neuronal Networks

Eyal Hulata, Itay Baruchi, Ronen Segev, Yoash Shapira, and Eshel Ben-Jacob
Phys. Rev. Lett. 92, 198105 – Published 14 May 2004

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.

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  • Received 7 August 2003

DOI:https://doi.org/10.1103/PhysRevLett.92.198105

©2004 American Physical Society

Authors & Affiliations

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

  • School of Physics and Astronomy, Raymond & Beverly Sackler Faculty of Exact Sciences, Tel-Aviv University, Tel-Aviv 69978, Israel

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Issue

Vol. 92, Iss. 19 — 14 May 2004

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