The launch of the US BRAIN and European Human Brain Projects coincides with growing
international efforts toward transparency and increased access to publicly funded research …

The importance of neuronal morphology in brain function has been recognized for over a
century. The broad applicability of" digital reconstructions" of neuron morphology across …

Network neuroscience is the emerging discipline concerned with investigating the complex
patterns of interconnections found in neural systems, and identifying principles with which to …

Neuronal morphology is diverse among animal species, developmental stages, brain
regions, and cell types. The geometry of individual neurons also varies substantially even …

Clarifying the morphological characteristics of neurons can promote the understanding of
brain function. However, traditional morphometrics fail to capture the modeling of each point …

Graph theory has provided a key mathematical framework to analyse the architecture of
human brain networks. This architecture embodies an inherently complex relationship …

The analysis of neuronal morphological data is essential to investigate the neuronal
properties and brain mechanisms. The complex morphologies, absence of annotations, and …

The branching structures of neurons are a long-standing focus of neuroscience. Axonal and
dendritic morphology affect synaptic signaling, integration, and connectivity, and their …

Rett syndrome (RTT) is a progressive neurological disorder primarily caused by mutations in
the X-linked gene methyl-CpG-binding protein 2 (MECP2). The heterozygous female brain …

Dendrites form predominantly binary trees that are exquisitely embedded in the networks of
the brain. While neuronal computation is known to depend on the morphology of dendrites …