Scientists have developed hundreds of techniques to measure the interactions between
pairs of processes in complex systems, but these computational methods—from …

People living with schizophrenia (SCZ) experience severe brain network deterioration. The
brain is constantly fizzling with non-linear causal activities measured by …

Objective Preliminary evidence has documented functional connectivity during the cognitive
task in Autism Spectrum Disorder (ASD). However, evidence of effective neural connectivity …

We propose a new estimator to measure directed dependencies in time series. The
dimensionality of data is first reduced using a new non-uniform embedding technique …

Modelling causal relationships has become popular across various disciplines. Most
common frameworks for causality are the Pearlian causal directed acyclic graphs (DAGs) …

Objectives Comprehension of speech in adverse listening conditions is challenging for
hearing-impaired (HI) individuals. Noise reduction (NR) schemes in hearing aids (HAs) have …

The evaluation of automobile sound quality is an important research topic in the interior
sound design of passenger car, and the accurate and effective evaluation methods are …

It is well-known that estimation of the directed dependency between high-dimensional data
sequences suffers from the" curse of dimensionality" problem. To reduce the dimensionality …

Transfer entropy can to a certain degree assess the direction in addition to the strength of
the couplings within dynamic time series. The greater the transfer entropy, the greater the …

Comprehension of speech in noise is a challenge for hearing-impaired (HI) individuals.
Electroencephalography (EEG) provides a tool to investigate the effect of different levels of …