Brain development is underpinned by complex interactions between neural assemblies,
driving structural and functional change. This neuroconstructivism (the notion that neural …

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 …

The complex connectivity of nervous systems is thought to have been shaped by competitive
selection pressures to minimize wiring costs and support adaptive function. Accordingly …

The cortical patterning principle has been a long-standing question in neuroscience, yet
how this translates to macroscale functional specialization in the human brain remains …

The formation of large-scale brain networks, and their continual refinement, represent crucial
developmental processes that can drive individual differences in cognition and which are …

Neural phenotypes are the result of probabilistic developmental processes. This means that
stochasticity is an intrinsic aspect of the brain as it self-organizes over a protracted period. In …

Generative models of the human connectome enable in silico generation of brain networks
based on probabilistic wiring rules. These wiring rules are governed by a small number of …

Economic efficiency has been a popular explanation for how networks self-organize within
the developing nervous system. However, the precise nature of the economic negotiations …

Combining advanced neuroimaging with novel computational methods in network science
and machine learning has led to increasingly meaningful descriptions of structure and …

Connectomics and network neuroscience offer quantitative scientific frameworks for
modeling and analyzing networks of structurally and functionally interacting neurons …