The dynamic mode decomposition (DMD) technique extracts the dominant modes
characterizing the innate dynamical behavior of the system within the measurement data …

Objectives Subjective cognitive complaints (SCC) are common and clinically relevant in mild
cognitive impairment (MCI) but are intertwined with mood states. Using Ecological …

Over the past decades, studies of human brain networks have received growing attention as
the assessment and modelling of connectivity in the brain is a topic of high impact with …

Pavement performance prediction is the foundation of maintenance decisions, which is the
key problem of infrastructure management. Most prediction methods focus on section-based …

Emerging or diminishing nonlinear interactions in the evolution of a complex system may
signal a possible structural change in its underlying mechanism. This type of structural break …

Inferring and understanding the underlying connectivity structure of a system solely from the
observed activity of its constituent components is a challenge in many areas of science. In …

To date, it is largely unknown how frequency range of neural oscillations measured with
EEG is related to functional connectivity. To address this question, we investigated …

The measure of partial mutual information from mixed embedding (PMIME) is an information
theory-based measure to accurately identify the direct and directional coupling, termed …

Abstract System identification is the field of systems mathematical modeling from
experimental data. In the modeling chain, experiments realization, model structure selection …

Aim: The aim of this study was to differentiate the effects of spinal cord injury (SCI) and
central neuropathic pain (CNP) on effective connectivity during motor imagery of legs, where …