A fundamental goal of research in neuroscience is to uncover the causal structure of the
brain. This focus on causation makes sense, because causal information can provide …

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

Mapping the connectome of the human brain using structural or functional connectivity has
become one of the most pervasive paradigms for neuroimaging analysis. Recently, Graph …

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 and simplical complexes both capture the higher-order interactions of complex
systems, ranging from higher-order collaboration networks to brain networks. One open …

Percolation establishes the connectivity of complex networks and is one of the most
fundamental critical phenomena for the study of complex systems. On simple networks …

Topological signals, ie, dynamical variables defined on nodes, links, triangles, etc. of higher-
order networks, are attracting increasing attention. However, the investigation of their …

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 …

Complex systems are characterized by multiple spatial and temporal scales. A natural
framework to capture their multiscale nature is that of multilayer networks, where different …

Mammalian taxonomies are conventionally defined by morphological traits and genetics.
How species differ in terms of neural circuits and whether inter-species differences in neural …