Network control theory (NCT) is a simple and powerful tool for studying how network
topology informs and constrains the dynamics of a system. Compared to other structure …

How is the information-processing architecture of the human brain organised, and how does
its organisation support consciousness? Here, we combine network science and a rigorous …

Neural dynamics can reflect intrinsic dynamics or dynamic inputs, such as sensory inputs or
inputs from other brain regions. To avoid misinterpreting temporally structured inputs as …

Neuropsychiatric disorders such as major depression are a leading cause of disability
worldwide with standard treatments, including psychotherapy or medication, failing many …

Functional interactions between brain regions can be viewed as a network, enabling
neuroscientists to investigate brain function through network science. Here, we …

The structure of a complex network plays a crucial role in determining its dynamical
properties. In this work, we show that the directed, hierarchical organisation of a network …

Objective. Learning dynamical latent state models for multimodal spiking and field potential
activity can reveal their collective low-dimensional dynamics and enable better decoding of …

That younger individuals perceive the world as moving slower than adults is a familiar
phenomenon. Yet, it remains an open question why that is. Using event segmentation …

The human brain is a complex system with high metabolic demands and extensive
connectivity that requires control to balance energy consumption and functional efficiency …

Despite a rich and interdisciplinary literature on time-series analysis, the brain's complex
distributed dynamics are typically quantified using only a limited set of manually selected …