This paper uses EEG data to introduce an approach for classifying right and left-hand
classes in Motor Imagery (MI) tasks. The Kernel Cross-Spectral Functional Connectivity …

Decoding natural hand movements using Movement-Related Cortical Potentials (MRCPs)
features is crucial for the natural control of neuroprosthetics. However, current research has …

Motor Imagery (MI) refers to imagining the mental representation of motor movements
without overt motor activity, enhancing physical action execution and neural plasticity with …

We investigate the spectra of adjacency matrices of multiplex networks under random matrix
theory (RMT) framework. Through extensive numerical experiments, we demonstrate that …

Purpose Random matrix theory (RMT) is an increasingly useful tool for understanding large,
complex systems. Prior studies have examined functional magnetic resonance imaging …