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 …

Abstract Latent Variable Models (LVMs) propose to model the dynamics of neural
populations by capturing low-dimensional structures that represent features involved in …

Recently, high-density (HD) EMG electrodes have been proposed for improving amputees'
movement/grasping intention recognition, exploiting different machine learning techniques …

Depression is a serious mental disorder with complex etiology, exhibiting strong
heterogeneity in clinical manifestations such as various subtypes. Research on depression …

In recent years, the focus of the functional connectivity community has shifted from stationary
approaches to the ones that include temporal dynamics. Especially, non-invasive …

The ability to recognize fine-grained gestures enables several applications in different
domains, including healthcare, robotics, remote control, and human-computer interaction …

A substantial portion of the world's population deals with disability. Many disabled people do
not have equal access to healthcare, education, and employment opportunities, do not …

Dense functional magnetic resonance imaging datasets open new avenues to create auto-
regressive models of brain activity. Individual idiosyncrasies are obscured by group models …

Dense functional magnetic resonance imaging datasets open new avenues to create auto-
regressive models of brain activity. Individual idiosyncrasies are obscured by group models …