Identifying relationships between structural and functional networks is crucial for
understanding the large-scale organization of the human brain. The potential contribution of …

Neurovascular coupling (NVC) provides important insights into the intricate activity of brain
functioning and may aid in the early diagnosis of brain diseases. Emerging evidences have …

A new version of the convergent cross mapping is proposed to detect causalities from
records for strongly coupled nonlinear dynamical systems, where the mutual entropy is used …

A logical sequence of information-theoretic quantifiers of directional (causal) couplings in
Markov chains is generated within the framework of dynamical causal effects (DCEs) …

High-precision measurements require optimal setups and analysis tools to achieve
continuous improvements. Systematic corrections need to be modeled with high accuracy …

"Causometry" of processes in arbitrary dynamical systems: Three levels of directional coupling
quantifiers - IOPscience Skip to content IOP Science home Accessibility Help Search Search all …

Understanding causal relationships within a system is crucial for uncovering its underlying
mechanisms. Causal discovery methods, which facilitate the construction of such models …

Falsification is the basis for testing existing hypotheses, and a great danger is posed when
results incorrectly reject our prior notions (false positives). Though nonparametric and …

Experiments of free neutron beta decays can probe the weak interaction structure for tensor
and scalar contributions. We can measure such contributions as a shift in the electron …

Understanding the functional connectivity between different brain regions is vital for
improving our comprehension of neural processing and cognition. While directed functional …