Graph theory is now becoming a standard tool in system-level neuroscience. However,
endowing observed brain anatomy and dynamics with a complex network structure does not …

Network science provides a set of tools for the characterization of the structure and
functional behavior of complex systems. Yet a major problem is to quantify how the structural …

Understanding how brains process information is an incredibly difficult task. Amongst the
metrics characterising information processing in the brain, observations of dynamic near …

The connection patterns of neural circuits form a complex network. How signaling in these
circuits manifests as complex cognition and adaptive behaviour remains the central question …

An early disruption of neuronal excitation–inhibition (E–I) balance in preclinical animal
models of Alzheimer's disease (AD) has been frequently reported, but is difficult to measure …

Brain networks exist within the confines of resource limitations. As a result, a brain network
must overcome the metabolic costs of growing and sustaining the network within its physical …

Sleep is assumed to subserve homeostatic processes in the brain; however, the set point
around which sleep tunes circuit computations is unknown. Slow-wave activity (SWA) is …

Consciousness has been proposed to be supported by electrophysiological patterns poised
at criticality, a dynamical regime which exhibits adaptive computational properties …

The computational capabilities of neuronal networks are fundamentally constrained by their
specific connectivity. Previous studies of cortical connectivity have mostly been carried out in …

So-called spontaneous activity is a central hallmark of most nervous systems. Such non-
causal firing is contrary to the tenet of spikes as a means of communication, and its purpose …