Understanding communication and information processing in nervous systems is a central
goal of neuroscience. Over the past two decades, advances in connectomics and network …

The surgical management of brain tumors is based on the principle that the extent of
resection improves patient outcomes. Traditionally, neurosurgeons have considered that …

It is typically assumed that large networks of neurons exhibit a large repertoire of nonlinear
behaviours. Here we challenge this assumption by leveraging mathematical models derived …

The brain is a complex system comprising a myriad of interacting neurons, posing significant
challenges in understanding its structure, function, and dynamics. Network science has …

Complex systems, composed at the most basic level of units and their interactions, describe
phenomena in a wide variety of domains, from neuroscience to computer science and …

Dynamical brain state transitions are critical for flexible working memory but the network
mechanisms are incompletely understood. Here, we show that working memory …

Direct electrical stimulation can modulate the activity of brain networks for the treatment of
several neurological and neuropsychiatric disorders and for restoring lost function. However …

The human brain is arguably one of the most complex systems in nature. To understand how
it operates, it is essential to understand the link between neural activity and behavior …

Network control theory is increasingly used to profile the brain's energy landscape via
simulations of neural dynamics. This approach estimates the control energy required to …

Objective. Predicting how the brain can be driven to specific states by means of internal or
external control requires a fundamental understanding of the relationship between neural …