Jakub Kořenek

ORCID: 0000-0002-2683-5300
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About
Contact & Profiles
Research Areas
  • Functional Brain Connectivity Studies
  • Quantum Mechanics and Applications
  • Bayesian Modeling and Causal Inference
  • Metal Alloys Wear and Properties
  • Data Visualization and Analytics
  • Neural dynamics and brain function
  • Acute Ischemic Stroke Management
  • Complex Systems and Time Series Analysis
  • Advanced Neuroimaging Techniques and Applications
  • Rough Sets and Fuzzy Logic
  • Tribology and Lubrication Engineering

Czech Technical University in Prague
2020-2023

Czech Academy of Sciences
2020-2023

Czech Academy of Sciences, Institute of Computer Science
2020-2023

Estimating causal interactions in complex dynamical systems is an important problem encountered many fields of current science. While a theoretical solution for detecting the has been previously formulated framework prediction improvement, it generally requires computation high-dimensional information functionals-a situation invoking curse dimensionality with increasing network size. Recently, several methods have proposed to alleviate this problem, based on iterative procedures assessment...

10.1063/1.5115267 article EN Chaos An Interdisciplinary Journal of Nonlinear Science 2020-01-01

The inference of causal relations between observable phenomena is paramount across scientific disciplines; however, the means for such enterprise without experimental manipulation are limited. A commonly applied principle that cause preceding and predicting effect, taking into account other circumstances. Intuitively, when temporal order events reverted, one would expect effect to apparently switch roles. This was previously demonstrated in bivariate linear systems used design improved...

10.3390/e23081067 article EN cc-by Entropy 2021-08-17

The description of the dynamics complex systems, in particular capture interaction structure and causal relationships between elements system, is one central questions interdisciplinary research. While characterization pairwise interactions a relatively ripe field with established theoretical concepts current focus on technical issues their efficient estimation, it turns out that standard such as Granger causality or transfer entropy may not faithfully reflect possible synergies higher...

10.48550/arxiv.2409.08295 preprint EN arXiv (Cornell University) 2024-08-30

Despite the rising global burden of stroke and its socio-economic implications, neuroimaging predictors subsequent cognitive impairment are still poorly understood. We address this issue by studying relationship white matter integrity assessed within ten days after patients’ status one year attack. Using diffusion-weighted imaging, we apply Tract-Based Spatial Statistics analysis construct individual structural connectivity matrices employing deterministic tractography. further quantify...

10.1371/journal.pone.0280892 article EN cc-by PLoS ONE 2023-04-14
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