We begin by reviewing the statistical framework of information theory as applicable to
neuroimaging data analysis. A major factor hindering wider adoption of this framework in …

Despite recent advances in understanding how respiration affects neural signalling to
influence perception, cognition, and behaviour, it is yet unclear to what extent breathing …

Despite recent progress in understanding multisensory decision-making, a conclusive
mechanistic account of how the brain translates the relevant evidence into a decision is …

Advances in neuronal recording techniques are leading to ever larger numbers of
simultaneously monitored neurons. This poses the important analytical challenge of how to …

We systematically investigated the application of embodied hyperscanning methodologies
in social neuroscience research. Hyperscanning enables the simultaneous recording of …

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 …

Resting-state functional magnetic resonance imaging (rs-fMRI) provides a valuable tool to
study spontaneous brain activity. Using rs-fMRI, researchers have extensively studied the …

Many real-world decisions rely on active sensing, a dynamic process for directing our
sensors (eg eyes or fingers) across a stimulus to maximize information gain. Though …

Multiple types of brain-control systems have been applied in the field of rehabilitation. As an
alternative scheme for balancing user fatigue and the classification accuracy of brain …

It is aimed at finding the correlation between golfer's performance and EEG signals from the
successful and unsuccessful putts. To address this issue, the inertial motion capture (mocap) …