Muscle synergy analysis is increasingly used in domains such as neurosciences, robotics,
rehabilitation or sport sciences to analyze and better understand motor coordination. The …

Brain–computer interfaces (BCIs) have been widely employed to identify and estimate a
user's intention to trigger a robotic device by decoding motor imagery (MI) from an …

Recent years have seen an explosion of interest in naturalistic behaviour and in machine
learning tools for automatically tracking it. However, questions about what to measure, how …

Mastering a rich repertoire of motor behaviors, as humans and other animals do, is a
surprising and still a poorly understood outcome of evolution, development, and learning …

Quantifying movement variability is a crucial aspect for clinical and laboratory investigations
in several contexts. However, very few studies have assessed, in detail, the intra-subject …

Modularity in the central nervous system (CNS), ie, the brain capability to generate a wide
repertoire of movements by combining a small number of building blocks (“modules”), is …

Muscle synergy analysis is a useful tool for the evaluation of the motor control strategies and
for the quantification of motor performance. Among the parameters that can be extracted …

The boundary-based assist-as-needed (BAAN) force field is widely used in robotic
rehabilitation and has shown promising results in improving trunk control and postural …

Voluntary movement is hypothesized to rely on a limited number of muscle synergies, the
recruitment of which translates task goals into effective muscle activity. In this study, we …

Visual categorization is the brain computation that reduces high-dimensional information in
the visual environment into a smaller set of meaningful categories. An important problem in …