Electroencephalography (EEG) and electromyography (EMG) are widespread and well-
known quantitative techniques used for gathering biological signals at cortical and muscular …

The present study used transfer entropy and effective transfer entropy to examine the
asymmetric information flow between exchange rates, oil, and gold. The dataset is …

In musculoskeletal systems, describing accurately the coupling direction and intensity
between physiological electrical signals is crucial. The maximum information coefficient …

Brain-computer interface (BCI) usually suffers from the problem of low recognition accuracy
and large calibration time, especially when identifying motor imagery tasks for subjects with …

The present study examines the asymmetric information flow between bivariate pairs of gold,
silver, and oil daily returns for the period: 1 September 2000 to 5 May 2022 with a special …

The study of the synchronous characteristics and functional connections between the
functional cortex and muscles of hand-grasping movements is important in basic research …

In the field of neuroscience, it is very important to evaluate the causal coupling
characteristics between bioelectrical signals accurately and effectively. Transfer entropy is …

This thesis aims to develop signal processing and information-theoretic methodologies for
the detection and characterization of cortico-muscular interactions (CMI) using the …

Causal decomposition depicts a cause-effect relationship that is not based on the concept of
prediction, but based on the phase dependence of time series. It has been validated in both …