Understanding communication and information processing in nervous systems is a central
goal of neuroscience. Over the past two decades, advances in connectomics and network …

Noninvasive medical neuroimaging has yielded many discoveries about the brain
connectivity. Several substantial techniques mapping morphological, structural and …

Networks are finite metric spaces, with distances defined by the shortest paths between
nodes. However, this is not the only form of network geometry: two others are the geometry …

A growing number of studies have used stylized network models of communication to predict
brain function from structure. Most have focused on a small set of models applied globally …

Understanding the mechanisms of neural communication in large-scale brain networks
remains a major goal in neuroscience. We investigated whether navigation is a …

The connectome provides the structural substrate facilitating communication between brain
regions. We aimed to establish whether accounting for polysynaptic communication in …

A complete understanding of the brain requires an integrated description of the numerous
scales and levels of neural organization. This means studying the interplay of genes and …

Reducing dimension redundancy to find simplifying patterns in high-dimensional datasets
and complex networks has become a major endeavor in many scientific fields. However …

Structural connectivity in the brain is typically studied by reducing its observation to a single
spatial resolution. However, the brain possesses a rich architecture organized over multiple …

Neural information flow is inherently directional. To date, investigation of directional
communication in the human structural connectome has been precluded by the inability of …