Abstract Systems neuroscience approaches with a focus on large-scale brain organization
and network analysis are advancing foundational knowledge of how cognitive control …

Network-based modeling of complex systems and data using the language of graphs has
become an essential topic across a range of different disciplines. Arguably, this graph-based …

Brains contain networks of interconnected neurons and so knowing the network architecture
is essential for understanding brain function. We therefore mapped the synaptic-resolution …

Establishing how neural function emerges from network properties is a fundamental problem
in neuroscience. Here, to better understand the relationship between the structure and the …

In the era of information, characterized by an exponential growth in data volume and an
escalating level of data abstraction, there has been a substantial focus on brain‐like chips …

A central goal of artificial intelligence in high-stakes decision-making applications is to
design a single algorithm that simultaneously expresses generalizability by learning …

The suprachiasmatic nucleus (SCN) of the hypothalamus is remarkable. Despite numbering
only about 10,000 neurons on each side of the third ventricle, the SCN is our principal …

In humans, the period from term birth to∼ 2 years of age is characterized by rapid and
dynamic brain development and plays an important role in cognitive development and risk of …

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 …

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