High-level brain functions are widely believed to emerge from the orchestrated activity of
multiple neural systems. However, lacking a formal definition and practical quantification of …

Understanding diffusive processes in networks is a significant challenge in complexity
science. Networks possess a diffusive potential that depends on their topological …

We investigate the stability and robustness properties of a continuification-based strategy for
the control of large-scale multiagent systems. Within this framework, one transforms the …

Cluster synchronization is of great importance for the normal functioning of numerous
technological and natural systems. Deviations from normal cluster synchronization patterns …

Cluster synchronization underlies various functions in the brain. Abnormal patterns of cluster
synchronization are often associated with neurological disorders. Deep brain stimulation …

In recent years, ensuring stability in power networks has posed a significant challenge for
network control engineers, primarily due to the substantial growth in power demand and the …

Chimera states are a phenomenon in which order and disorder can co-exist within a network
that is fully homogeneous. Precisely how transient chimeras emerge in finite networks of …

Persistent global synchronization within a neuronal network is generally considered an
undesirable, pathological state that often arises from to the loss of regulatory neurons or …

Humans are a fundamentally social species whose well-being depends on how we connect
with and relate to one another. As such, scientific understanding of factors that promote …

We investigate a spike activity of a network of excitable FitzHugh–Nagumo neurons, which is
under constant two-frequency auditory signals. The neurons are supplemented with linear …