Networks are a powerful model for describing connected systems in biological, physical, social, and other environments. As useful as they are, though, conventional networks are static and are limited ...

A team of researchers led by Professor Sebastian Deindl at Uppsala University has developed a pioneering method that vastly improves the ability to observe and analyze complex biological processes at ...

In order to uncover the relationship between structure and function, researchers used microfluidic devices to study neuronal networks. Uncovering the relationship between structure (connectivity) and ...

Scientists usually use a hypergraph model to predict dynamic behaviors. But the opposite problem is interesting, too. What if researchers can observe the dynamics but don't have access to a reliable ...

The dynamics of volume preserving maps can model a variety of mixing problems ranging from microscopic granular mixing, to dispersion of pollutants over our planet's atmosphere. We study a general ...