It is a fundamental challenge to understand how the function of a network is related to its
structural organization. Adaptive dynamical networks represent a broad class of systems that …

Technological advances in imaging techniques and biometric data acquisition have enabled
us to apply methods of network science to study the morphology and structural design of …

Biological entities are involved in intricate and complex interactions, in which uncovering the
biological information from the network concepts are of great significance. Benefiting from …

The human brain is organized into large-scale networks identifiable using resting-state
functional connectivity (RSFC). These functional networks correspond with broad cognitive …

Optimizing the high computational real-world problems is a challenging task that has taken a
great deal of efforts in the last decade. The meta-heuristic algorithms have brought countless …

The human brain can be represented as a graph in which neural units such as cells or small
volumes of tissue are heterogeneously connected to one another through structural or …

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 …

Cognition arises from the dynamic flow of neural activity through the brain. To capture these
dynamics, we used mesoscale calcium imaging to record neural activity across the dorsal …

Optimal integration and segregation of neuronal connections are necessary for efficient
large-scale network communication between distributed cortical regions while allowing for …

The relationship between structural and functional brain networks has been characterised
as complex: the two networks mirror each other and show mutual influence but they also …