The mechanisms controlling dynamical patterns in spontaneous brain activity are poorly
understood. Here, we provide evidence that cortical dynamics in the ultra-slow frequency range (…

Trait‐based ecology aims to understand the processes that generate the overarching
diversity of organismal traits and their influence on ecosystem functioning. Achieving this goal …

Most methods of optimal control cannot obtain accurate time-optimal protocols. The quantum
brachistochrone equation is an exception, and has the potential to provide accurate time-…

Large-scale brain networks reveal structural connections as well as functional synchronization
between distinct regions of the brain. The latter, referred to as functional connectivity (FC), …

The geometry of quantum states provides a unifying framework for estimation processes
based on quantum probes, and it establishes the ultimate bounds of the achievable precision. …

The network control theory framework holds great potential to inform neurostimulation
experiments aimed at inducing desired activity states in the brain. However, the current …

We study the quantum discord (QD) and the classical correlations (CC) in a reference model
for strongly correlated electrons, the one-dimensional bond-charge extended Hubbard …

One of the founding paradigms of machine learning is that a small number of variables is
often sufficient to describe high-dimensional data. The minimum number of variables required …

We address the degradation of continuous variable (CV) entanglement in a noisy channel
focusing on the set of photon-number entangled states. We exploit several separability criteria …

Beyond causing local ischemia and cell damage at the site of injury, stroke strongly affects
long-range anatomical connections, perturbing the functional organization of brain networks. …