Jaroslav Hlinka

According to our database, Jaroslav Hlinka authored at least 20 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Towards a dynamical understanding of microstate analysis of M/EEG data.

Nikola Jajcay, Jaroslav Hlinka

NeuroImage, November, 2023

Computing approximate symmetries of complex networks.

Anna Pidnebesna, David Hartman, Aneta Pokorná, Matej Straka, Jaroslav Hlinka

CoRR, 2023

2022

Brain Functional Connectivity Asymmetry: Left Hemisphere Is More Modular.

Lucia Jajcay, David Tomecek, Jirí Horácek, Filip Spaniel, Jaroslav Hlinka

Symmetry, 2022

2021

Perturbations both trigger and delay seizures due to generic properties of slow-fast relaxation oscillators.

Alberto Pérez-Cervera, Jaroslav Hlinka

PLoS Comput. Biol., 2021

Promises and pitfalls of topological data analysis for brain connectivity analysis.

Luigi Caputi, Anna Pidnebesna, Jaroslav Hlinka

NeuroImage, 2021

Causality in Reversed Time Series: Reversed or Conserved?

Jakub Korenek, Jaroslav Hlinka

Entropy, 2021

2020

Electrical Source Imaging in Freely Moving Rats: Evaluation of a 12-Electrode Cortical Electroencephalography System.

Stanislav Jiricek, Vlastimil Koudelka, Jaroslav Lacik, Cestmir Vejmola, David Kuratko, Daniel K. Wójcik, Zbynek Raida, Jaroslav Hlinka, Tomas Palenicek

Frontiers Neuroinformatics, 2020

A Dynamical Systems Approach to Spectral Music: Modeling the Role of Roughness and Inharmonicity in Perception of Musical Tension.

Michal Hadrava, Jaroslav Hlinka

Frontiers Appl. Math. Stat., 2020

2019

Residual Predictive Information Flow in the Tight Coupling Limit: Analytic Insights from a Minimalistic Model.

Benjamin Wahl, Ulrike Feudel, Jaroslav Hlinka, Matthias Wächter, Joachim Peinke, Jan A. Freund

Entropy, 2019

Quantifying the Variability in Resting-State Networks.

Isaura Oliver, Jaroslav Hlinka, Jakub Kopal, Jörn Davidsen

Entropy, 2019

2018

Nonlinearity in stock networks.

David Hartman, Jaroslav Hlinka

CoRR, 2018

Causal network discovery by iterative conditioning: comparison of algorithms.

Jaroslav Hlinka, Jakub Korenek

CoRR, 2018

BRAD: Software for BRain Activity Detection from hemodynamic response.

Anna Pidnebesna, David Tomecek, Jaroslav Hlinka

Comput. Methods Programs Biomed., 2018

2016

Implicitly Weighted Robust Classification Applied to Brain Activity Research.

Jan Kalina, Jaroslav Hlinka

Proceedings of the Biomedical Engineering Systems and Technologies, 2016

Highly Robust Classification: A Regularized Approach for Omics Data.

Jan Kalina, Jaroslav Hlinka

Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

2015

On the danger of detecting network states in white noise.

Jaroslav Hlinka, Michal Hadrava

Frontiers Comput. Neurosci., 2015

2013

Reliability of Inference of Directed Climate Networks Using Conditional Mutual Information.

Jaroslav Hlinka, David Hartman, Martin Vejmelka, Jakob Runge, Norbert Marwan, Jürgen Kurths, Milan Palus

Entropy, 2013

2012

Small-world topology of functional connectivity in randomly connected dynamical systems

Jaroslav Hlinka, David Hartman, Milan Palus

CoRR, 2012

2011

Functional connectivity in resting-state fMRI: Is linear correlation sufficient?

Jaroslav Hlinka, Milan Palus, Martin Vejmelka, Dante Mantini, Maurizio Corbetta

NeuroImage, 2011

2010

Slow EEG pattern predicts reduced intrinsic functional connectivity in the default mode network: An inter-subject analysis.

Jaroslav Hlinka, Charilaos Alexakis, Ana Diukova, Peter F. Liddle, Dorothee Auer

NeuroImage, 2010