Unraveling Emergent Complexity: A Neural-Inspired Framework for Multi-Scale Network Dynamics
Navn på bevillingshaver
Guoqing Gao
Titel
Postdoctoral Fellow
Institution
Imperial College London and University of Oxford
Beløb
DKK 2,560,250
År
2025
Bevillingstype
Internationalisation Fellowships
Hvad?
This project develops a unified, neural-inspired framework to model emergent complexity in multi-scale networks - focusing on synchronization and cascading failures in power grids and neural systems. It bridges physics, neuroscience, and control theory to uncover shared dynamical laws.
Hvorfor?
Emergent behaviors like blackouts or seizures arise unpredictably in critical systems due to nonlinear, multi-scale interactions. Understanding their shared principles is crucial for enhancing resilience in power grids and for advancing theories of self-organized criticality across disciplines.
Hvordan?
The project integrates multi-scale Kuramoto models, graph theory, and neural mass models across four phases at Imperial, Aalborg, and Oxford. Through theoretical modeling and real-world data from Ørsted and epilepsy research, it synthesizes a cross-domain framework and open-source tools.