Noninvasive brain stimulation techniques (NiBS) have gathered substantial interest in the
study of dementia, considered their possible role in help defining diagnostic biomarkers of …

Neuroscience studies are often carried out in animal models for the purpose of
understanding specific aspects of the human condition. However, the translation of findings …

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 …

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

The membrane potential of a neuron is mainly controlled by the gradient distribution of
electromagnetic field and concentration diversity between intracellular and extracellular …

White matter connectivity supports diverse cognitive demands by efficiently constraining
dynamic brain activity. This efficiency can be inferred from network controllability, which …

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 …

A central challenge in the computational modeling of neural dynamics is the trade-off
between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are …

From logical reasoning to mental simulation, biological and artificial neural systems possess
an incredible capacity for computation. Such neural computers offer a fundamentally novel …

Over one third of the estimated 3 million people with epilepsy in the United States are
medication resistant. Responsive neurostimulation from chronically implanted electrodes …