Permutation entropy (PE) has been recently suggested as a novel measure to characterize
the complexity of nonlinear time series. In this paper, we propose a simple method to …

Abstract Conditional Mutual Information (CMI) is a measure of conditional dependence
between random variables X and Y, given another random variable Z. It can be used to …

At present, the clinical diagnosis of mild cognitive impairment (MCI) patients becomes the
important approach of evaluating early Alzheimer's disease. The methods of EEG signal …

The major aim of this work was to propose a new association method known as Motif-
Synchronization. This method was developed to provide information about the …

'Causal'direction is of great importance when dealing with complex systems. Often big
volumes of data in the form of time series are available and it is important to develop …

In this paper, we propose multivariate multiscale permutation entropy (MMPE) and
multivariate weighted multiscale permutation entropy (MWMPE) to explore the complexity of …

Basal ganglia (BG) has been demonstrated to play the role of modulation for absence
seizure generated in the corticothalamic (CT) circuit. But it is unknown what the principle of …

Introduction: Joint symbolic analysis (JSA) can be utilized to describe interactions between
time series while accounting for time scales and nonlinear features. JSA is based on the …

In this paper, we introduce weighted permutation entropy (WPE) and three different symbolic
approaches to investigate the complexities of stock time series containing amplitude-coded …

Abstract We introduce Ordinal Synchronization (OS) as a new measure to quantify
synchronization between dynamical systems. OS is calculated from the extraction of the …