Abstract Lempel–Ziv complexity (LZC), as a nonlinear feature in information science, has
shown great promise in detecting correlations and capturing dynamic changes in single …

We propose the Fourier-domain transfer entropy spectrum, a generalization of transfer
entropy, as a model-free metric of causality. For arbitrary systems, this approach …

As an important complexity feature of signal, Lempel‐Ziv complexity (LZC) has the
advantage of simple‐to‐calculate, but it ignores amplitude information, and has low …

Transfer entropy (TE) is widely used in time-series analysis to detect causal couplings
between temporally evolving objects. As a coupling strength quantifier, the TE alone often …

Information theory explains how systems encode and transmit information. This article
examines the neuronal system, which processes information via neurons that react to stimuli …

Divergences or similarity measures between probability distributions have become a very
useful tool for studying different aspects of statistical objects, such as time series, networks …

Assessing the complexity of signals or dynamical systems is important in disease diagnosis,
mechanical system defect, astronomy analysis, and many other fields. Although entropy …

We are studying the remarkable electrical properties of Proteinoids-ZnO microspheres with
the aim of exploring their potential for a new form of computing. Our research has revealed …