Uncovering the relationship between structure (connectivity) and function (neuronal activity) is a fundamental question across many areas of biology. However, investigating this directly in animal ...

The study of complex dynamics and automorphisms of manifolds centres on understanding the evolution of complex systems via iterative processes and the symmetries inherent in complex geometric spaces.

The nuclear pore complex (NPC) is an essential, highly dynamic macromolecular assembly embedded in the nuclear envelope that orchestrates the precise exchange of proteins, RNA and other macromolecules ...

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 ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...

In an increasingly interconnected world, understanding the behavior and structure of complex networks has become essential across disciplines. These ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...