Within the field of computational neuroscience there are great expectations of finding new
ways to rebalance the complex dynamic system of the human brain through controlled …

Network theory provides an intuitively appealing framework for studying relationships
among interconnected brain mechanisms and their relevance to behaviour. As the space of …

A fundamental problem in systems neuroscience is how to force a transition from one brain
state to another by external driven stimulation in, for example, wakefulness, sleep, coma, or …

At the inception of human brain map**, two principles of functional anatomy underwrote
most conceptions—and analyses—of distributed brain responses: namely, functional …

Growing evidence from the dynamical analysis of functional neuroimaging data suggests
that brain function can be understood as the exploration of a repertoire of metastable …

In order to survive in a complex environment, the human brain relies on the ability to flexibly
adapt ongoing behaviour according to intrinsic and extrinsic signals. This capability has …

The complexity of neural dynamics stems in part from the complexity of the underlying
anatomy. Yet how white matter structure constrains how the brain transitions from one …

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 …

Understanding the underlying dynamical mechanisms of the brain and controlling it is a
crucial issue in brain science. The energy landscape and transition path approach provides …

A group of neurons can generate patterns of activity that represent information about stimuli;
subsequently, the group can transform and transmit activity patterns across synapses to …