title: Measuring asymmetric temporal interdependencies in simulated and biological networks.
abstract: We use a newly developed metric to characterize asymmetric temporal interdependencies in networks of coupled dynamical elements. We studied the formation of temporal ordering in a system of coupled Rossler oscillators for different connectivity ratios and network topologies and also applied the metric to investigate the functional structure of a biological network (cerebral ganglia of Helix snail). In the former example we show how the local ordering evolves to the global one as a function of structural parameters of the network, while in the latter we show spontaneous emergence of functional interdependence between two groups of electrodes.
authors.affiliation: Department of Physics University of Michigan, Ann Arbor, Michigan 48109, USA.
authors.forename: Rhonda
authors.initials: R
authors.lastname: Dzakpasu
authors.forename: Kinjal
authors.initials: K
authors.lastname: Patel
authors.forename: Natallia
authors.initials: N
authors.lastname: Robinson
authors.forename: Melissa A
authors.initials: MA
authors.lastname: Harrington
authors.forename: Michał
authors.initials: M
authors.lastname: Zochowski
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D001683:Biological Clocks / Q000502:physiology*; D002540:Cerebral Cortex / Q000502:physiology*; D003198:Computer Simulation; D005246:Feedback / Q000502:physiology; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D017711:Nonlinear Dynamics; D012908:Snails / Q000502:physiology*