Analysis Of Emergent Behavior Research Articles

Engineering the Spatiotemporal Mosaic Self-Patterning of Pluripotent Stem Cells.

Pluripotent stem cells (PSCs) possess the ability to self-organize into complex tissue-like structures; however, the genetic mechanisms and multicellular dynamics that direct such patterning are difficult to control. Here, we pair live imaging with controlled induction of gene knockdown by CRISPR interference (CRISPRi) to generate changes within subpopulations of human PSCs, allowing for control over organization and analysis of emergent behaviors. Specifically, we use forced aggregation of mixtures of cells with and without an inducible CRISPRi system to knockdown molecular regulators of tissue symmetry. We then track the resulting multicellular organization through fluorescence live imaging concurrent with the induction of knockdown. Overall, this technique allows for controlled initiation of symmetry breaking by CRISPRi to produce changes in cellular behavior that can be tracked over time within high-density pluripotent stem cell colonies.

Modular experimental setup for real‐time analysis of emergent behavior in networks of Chua's circuits

SummaryThis paper describes the design, realization and use of an analogical, fully reconfigurable experimental setup to analyze the complex dynamics of networks of chaotic circuits. It reports details of the implementation and characterization of the setup, together with representative results, showing its flexibility and potential. The setup allows to choose arbitrarily the coupling strength and interconnection structure among the circuits, the type of link and to select the parameters of the node dynamics. It has a modular structure, and it can accommodate up to 32 nodes interconnected by at most 32 links. The collective dynamics of a relatively large set of different network structures and configurations has been investigated using the setup. Synchronization, pattern formation and other interesting collective phenomena were observed experimentally, their evidence being reported here as an illustration of the potential of the proposed setup. Copyright © 2015 John Wiley & Sons, Ltd.

STORY AND HISTORY IN FETAL BEHAVIOR RESEARCH.

In their monograph, DiPietro, Costigan, and Voegtline present an important and thoughtful portrait of low-risk fetal development during the last trimester of gestation, and they also pay tribute to the Fels Longitudinal Study investigators' early work in this area. In this commentary, the history and legacy of the Fels Institute is further explored within the broader context of fetal research, and DiPietro et al.'s findings are placed in alignment with contemporary dynamic systems' theoretical approaches that emphasize longitudinal analysis of emergent behavior and process during early development. The commentary puts forth the assertion that the work reported by DiPietro and her colleagues tells a story that sets the stage for a new generation of technology-enhanced and culturally expanded investigations of fetal behavior.

Modelling and stability analysis of emergent behavior of scalable swarm system

In this paper we propose a two-layer emergent model for scalable swarm system. The first layer describes the individual flocking behavior to the local goal position (the center of minimal circumcircle decided by the neighbors in the positive visual set of individuals) resulting from the individual motion to one or two farthest neighbors in its positive visual set; the second layer describes the emergent aggregating swarm behavior resulting from the individual motion to its local goal position. The scale of the swarm will not be limited because only local individual information is used for modelling in the two-layer topology. We study the stability properties of the swarm emergent behavior based on Lyapunov stability theory. Simulations showed that the swarm system can converge to goal regions while maintaining cohesiveness.