A Novel Mathematical Framework for Multi-Scale Neural Dynamics: Integrating Stochastic Differential Equations with Graph Neural Networks
The integration of multi-scale neural dynamics remains a fundamental challenge in computational neuroscience. This paper introduces a novel mathematical framework that integrates stochastic differential equations with graph neural networks to model multi-scale brain dynamics. Our approach treats neural activity, synapt...