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  1. 1.
    0572336 - ÚI 2024 RIV US eng J - Journal Article
    Rehák Bučková, Barbora - Kala, David - Kořenek, Jakub - Matušková, V. - Kumpošt, Vojtěch - Svobodová, L. - Otáhal, Jakub - Škoch, A. - Šulc, V. - Olšerová, A. - Vyhnálek, M. - Janský, P. - Tomek, A. - Marusič, P. - Jiruška, P. - Hlinka, Jaroslav
    Structural connectivity-based predictors of cognitive impairment in stroke patients attributable to aging.
    PLoS ONE. Roč. 18, č. 4 (2023), č. článku e0280892. ISSN 1932-6203. E-ISSN 1932-6203
    R&D Projects: GA MZd(CZ) NV17-28427A
    Grant - others:AV ČR(CZ) StrategieAV21/1; AV ČR(CZ) StrategieAV21/26
    Program: StrategieAV; StrategieAV
    Institutional support: RVO:67985807 ; RVO:67985823
    Keywords : Stroke * Aging * Structural connectivity * Diffusion Magnetic Resonance Imaging * White matter * Cognitive Dysfunction * Tract-Based Spatial Statistics * Graph Theory * Tractography
    OECD category: Neurosciences (including psychophysiology; Neurosciences (including psychophysiology (FGU-C)
    Impact factor: 3.7, year: 2022
    Method of publishing: Open access
    https://dx.doi.org/10.1371/journal.pone.0280892
    Permanent Link: https://hdl.handle.net/11104/0343075
    FileDownloadSizeCommentaryVersionAccess
    0572336-aoa.pdf21.7 MBOA CC BY 4.0Publisher’s postprintrequire
     
     
  2. 2.
    0545822 - ÚI 2022 RIV CH eng J - Journal Article
    Kořenek, Jakub - Hlinka, Jaroslav
    Causality in Reversed Time Series: Reversed or Conserved?
    Entropy. Roč. 23, August 2021 (2021), č. článku 1067. E-ISSN 1099-4300
    R&D Projects: GA ČR(CZ) GA19-11753S; GA ČR(CZ) GA19-16066S; GA ČR(CZ) GA21-17211S; GA ČR(CZ) GA21-32608S
    Institutional support: RVO:67985807
    Keywords : causality * time reversal * temporal symmetry * reversed time series * vector autoregressive process * random networks * brain network * climate network
    OECD category: Statistics and probability
    Impact factor: 2.738, year: 2021
    Method of publishing: Open access
    Permanent Link: http://hdl.handle.net/11104/0322468
    FileDownloadSizeCommentaryVersionAccess
    0545822-aoa.pdf2692.2 KBOA CC BYPublisher’s postprintopen-access
     
     
  3. 3.
    0520385 - ÚI 2021 RIV US eng J - Journal Article
    Kořenek, Jakub - Hlinka, Jaroslav
    Causal network discovery by iterative conditioning: Comparison of algorithms.
    Chaos. Roč. 30, č. 1 (2020), č. článku 013117. ISSN 1054-1500. E-ISSN 1089-7682
    R&D Projects: GA MZd(CZ) NV15-29835A; GA MZd(CZ) NV15-33250A; GA MZd(CZ) NV17-28427A; GA ČR(CZ) GA19-16066S; GA ČR(CZ) GA19-11753S
    Grant - others:GA MŠk(CZ) LO1611
    Institutional support: RVO:67985807
    Keywords : causality inference * complex networks * transfer entropy * conditional mutual information * Granger causality
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Impact factor: 3.642, year: 2020
    Method of publishing: Limited access
    http://dx.doi.org/10.1063/1.5115267
    Permanent Link: http://hdl.handle.net/11104/0305065
     
     


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