To explain how the brain orchestrates information-processing for cognition, we must
understand information itself. Importantly, information is not a monolithic entity. Information …

Network neuroscience has emphasized the connectional properties of neural elements–
cells, populations, and regions. This has come at the expense of the anatomical and …

The brain is a complex system comprising a myriad of interacting neurons, posing significant
challenges in understanding its structure, function, and dynamics. Network science has …

Hypergraphs, describing networks where interactions take place among any number of
units, are a natural tool to model many real-world social and biological systems. Here, we …

The standard approach to modeling the human brain as a complex system is with a network,
where the basic unit of interaction is a pairwise link between two brain regions. While …

One of the most well-established tools for modeling the brain is the functional connectivity
network, which is constructed from pairs of interacting brain regions. While powerful, the …

Brain communication, defined as information transmission through white-matter
connections, is at the foundation of the brain's computational capacities that subtend almost …

From social to biological systems, many real-world systems are characterized by higher-
order, non-dyadic interactions. Such systems are conveniently described by hypergraphs …

Higher-order networks can sustain topological signals which are variables associated not
only to the nodes, but also to the links, to the triangles and in general to the higher …

Recent studies have shown that novel collective behaviors emerge in complex systems due
to the presence of higher-order interactions. However, how the collective behavior of a …