AG Nichtlineare Dynamik in Komplexen Netzwerken

Team leader: Prof. Dr. Anna Zakharova, Ph.D.

Research 

We investigate nonlinear dynamical systems, noise-induced dynamics, control of neural networks, synchronization patterns in dynamical networks, and stochastic effects in networks with time delay.

Project A1 (CRC 910). Control and dynamics of multilayer networks

The objective of the present project is to investigate emergent phenomena and their control in multilayer networks that offer better representation of the topology and dynamics of real-world systems in comparison with one-layer structures. We particularly aim to disclose the interconnections between multiplexing, communication delay, and stochasticity to develop efficient control strategies. For this purpose we study noise- and delay-induced dynamics as well as complex deterministic effects and synchronization patterns, and explore their underlying mechanisms in multilayer networks. We intend to develop control methods based on solely (i) multiplexing and on the (ii) interplay of multiplexing with time delay or/and noise.

Springer Nature Interview

Chimera Patterns in Networks, Anna Zakharova, Springer International Publishing, ISBN 978-3-030-21713-6, (2020)