Code
01SC5124
Duration
01 October 2024 → 30 September 2028
Funding
Regional and community funding: Special Research Fund
Promotor
Fellow
Research disciplines
-
Natural sciences
- Complex systems
-
Social sciences
- Neurocognitive patterns and neural networks
Keywords
Complex networks
Computational neuroscience
Information theory: Higher-order dynamics
Project description
In this project, we will propose a new framework with information and topology theory for further understanding high-order phenomena. Combining the study on segregation-integration balance in our brain activity, we will develop a higher-order dynamical approach to improving the architecture of the present computation model, Spiking Neural Networks.