Project

The higher-order dynamical approach to computational models of brain activity

Code
01SC5124
Duration
01 October 2024 → 30 September 2028
Funding
Regional and community funding: Special Research Fund
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.