This project focuses on the study of spatiotemporal properties of

signal propagation in complex systems, with a particular emphasis on

dynamical processes on networks. The main objective is to develop a

unified theoretical and numerical framework to understand how network

topology and nonlinear dynamics influence signal transmission,

synchronization, and state transitions across multiple scales. The

research includes applications in neuroscience, based on whole-brain

activity imaging data (e.g., zebrafish), as well as more abstract

applications in socio-economic and other complex systems. By employing

methods from statistical physics, network theory, and nonlinear

dynamics, the project aims to elucidate the mechanisms underlying

state transitions and to identify universal principles governing

signal propagation in complex networks. The expected outcomes will

contribute to the fundamental understanding of complex system dynamics

and strengthen international scientific cooperation between Croatia

and China.