Effects of stochasticity and heterogeneity on networks' synchronization properties
Tuesday, June 15 at 09:30am (PDT)Tuesday, June 15 at 05:30pm (BST)Wednesday, June 16 01:30am (KST)
Zahra Aminzare (University of Iowa, United States), Vaibhav Srivastava (Michigan State University, United States)
Coupled dynamical systems provide an essential theoretical framework for modeling various natural or physical networks and analyzing their collective behavior, such as synchronization. These simple models often miss environmental fluctuations as well as internal and external disturbances which are ubiquitous in such networks. Therefore, a stochastic and heterogeneous dynamics approach provides a significant compromise to keep modeling complexity tractable and still capture important phenomena. The mini-symposium brings together mathematicians and experimentalists working on synchronization problems in neuronal networks, bio-molecular networks, and social networks.