Modeling and simulation of biological processes on top of the multiscale interdependent system of Homo Sapiens

The employing of complex network in multidisciplinary physics has grown in popularity over the last decades as they can provide a faster way to query systems with a large number of degrees of freedom. As most biological systems are of this type, physicists have started to model living organisms within this framework obtaining promising results but despite the efforts there remains a substantial gap in achieving a comprehensive, multi-scale representation of the diverse biological processes from genetic interactions up to brain activity. In this work a dynamical model for brain activity is established in the framework of multi-layer networks taking into account also interactions at smaller scales and providing a platform to perform analysis of robustness to functional perturbations. The research is supported by a software tool developed for the purpose of visualizing data organized across various scales within interconnected datasets.