Mirror neurons show activity during both the execution (AE) and observation of actions (AO).
The Mirror Neuron System (MNS) could be involved during motor imagery (MI) as well …

An exhaustive review is reported of over 25 years of research with the Discrete Sequence
Production (DSP) task as reported in well over 100 articles. In line with the increasing call for …

Human cooperation relies on key features of social interaction in order to reach desirable
outcomes. Similarly, human–robot interaction may benefit from integration with human …

Deep learning methods, particularly convolutional neural networks (CNNs), have advanced
the field of motor imagery (MI) by effectively extracting spatio-spectral–temporal (SST) …

Motor imagery (MI) refers to the mental rehearsal of movement in the absence of overt motor
action, which can activate or inhibit cortical excitability. EEG mu/beta oscillations recorded …

Computer vision (CV)-based systems using cameras and recognition algorithms offer
touchless, cost-effective, precise, and versatile hand tracking. These systems allow …

This systematic literature review explores the intersection of neuroscience and deep
learning in the context of decoding motor imagery Electroencephalogram (EEG) signals to …

The therapeutic efficacy of mirror visual feedback (MVF) is attributed to the perception of
embodiment. This study intends to investigate the instantaneous effect of embodiment on …

Interlimb coordination deteriorates as a result of aging. Due to its ubiquity in daily life, a
greater understanding of the underlying neurophysiological changes is required. Here, we …

Abstract Purpose of Review As a topic review on neurofeedback and motor imagery, this
work revises the overall foundations and conceptualization of neurofeedback training …