Role of Graph Architecture in Controlling Dynamical Networks with Applications to Neural Systems.

ABSTRACT: Networked systems display complex patterns of interactions between components. In physical networks, these interactions often occur along structural connections that link components in a hard-wired connection topology, supporting a variety of system-wide dynamical behaviors such as synchronization. While descriptions of these behaviors are important, they are only a first step towards understanding and harnessing the relationship between network topology and system behavior. Here, we use linear network control theory to derive accurate closed-form expressions that relate the connectivity of a subset of structural connections (those linking driver nodes to non-driver nodes) to the minimum energy required to control networked systems. To illustrate the utility of the mathematics, we apply th

SUBMITTER: Kim JZ 

PROVIDER: S-EPMC5798649 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature