title: Self-regulated complexity in cultured neuronal networks.
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.
authors.affiliation: School of Physics and Astronomy, Raymond & Beverly Sackler Faculty of Exact Sciences, Tel-Aviv University, Tel-Aviv 69978, Israel.
authors.forename: Eyal
authors.initials: E
authors.lastname: Hulata
authors.forename: Itay
authors.initials: I
authors.lastname: Baruchi
authors.forename: Ronen
authors.initials: R
authors.lastname: Segev
authors.forename: Yoash
authors.initials: Y
authors.lastname: Shapira
authors.forename: Eshel
authors.initials: E
authors.lastname: Ben-Jacob
mesh_terms: D000818:Animals; D001369:Axons / Q000502:physiology; D046508:Culture Techniques; D003712:Dendrites / Q000502:physiology; D008959:Models, Neurological; D009415:Nerve Net / Q000166:cytology / Q000502:physiology*; D009474:Neurons / Q000502:physiology; D051381:Rats; D013569:Synapses / Q000502:physiology