Structure–function relationships are a fundamental principle of many naturally occurring
systems. However, network neuroscience research suggests that there is an imperfect link …

Despite substantial recent progress, our understanding of the principles and mechanisms
underlying complex brain function and cognition remains incomplete. Network neuroscience …

The growing energy and performance costs of deep learning have driven the community to
reduce the size of neural networks by selectively pruning components. Similarly to their …

Neuronal signalling and communication underpin virtually all aspects of brain activity and
function. Network science approaches to modelling and analysing the dynamics of …

Network theory provides an intuitively appealing framework for studying relationships
among interconnected brain mechanisms and their relevance to behaviour. As the space of …

The network architecture of the human brain has become a feature of increasing interest to
the neuroscientific community, largely because of its potential to illuminate human cognition …

Complex systems, composed at the most basic level of units and their interactions, describe
phenomena in a wide variety of domains, from neuroscience to computer science and …

The macroscale connectome is the network of physical, white-matter tracts between brain
areas. The connections are generally weighted and their values interpreted as measures of …

Encoding brain regions and their connections as a network of nodes and edges captures
many of the possible paths along which information can be transmitted as humans process …

Over the past two decades, resting-state functional connectivity (RSFC) methods have
provided new insights into the network organization of the human brain. Studies of brain …