Multiscale modeling of network dynamics: from multimodal data to biophysical mechanisms and individual predictions (C09*)

该项目开发并应用了一个计算框架，该框架将能够整合多个尺度上的神经科学数据，以确定它们相互作用的一般原则。我们提出了一种方法，使用来自SFB项目的经验神经成像数据的多尺度分析和使用虚拟大脑(TVB)的大规模脑模拟。我们将把复杂的大脑动力学分解成概率功能模式，并在数学上将它们作为流形，随着动力学的展开，轨迹沿着流形演变。

This project develops and applies a computational framework that will enable the integration of neuroscience data across multiple scales to identify general principles of their interactions. We propose an approach using multiscale analyses of empirical neuroimaging data available from the SFB projects and large-scale brain simulations with TheVirtualBrain (TVB). We will decompose complex brain dynamics into probabilistic functional modes and mathematically operationalize them as manifolds along which trajectories evolve as the dynamics unfold.