google scholar | WoS
Journal articles
-
Jajcay, N. &
Hlinka,
J.
(2023).
Towards a dynamical understanding of microstate analysis of M/EEG data.
NeuroImage,
281,
120371.
-
Dallmer-Zerbe,
I.,
Jajcay, N.,
Chvojka,
J.,
Janca,
R.,
Jezdik,
P.,
Krsek,
P.,
Marusic,
P.,
Jiruska,
P. &
Hlinka,
J.
(2023).
Computational modeling allows unsupervised classification of epileptic brain states across species.
Scientific Reports,
13,
13436.
-
Bohm,
A.,
Lauko,
V.,
Dostalova,
K.,
Balanova,
I.,
Varga,
I.,
Bezak,
B.,
Jajcay, N.,
Moravcik,
R.,
Lazurova,
L.,
Slezak,
P.,
Mojto,
V.,
Kollarova,
M.,
Petrikova,
K.,
Danova,
K. &
Zeman,
M.
(2023).
In-vitro antiplatelet effect of melatonin in healthy individuals and patients with type 2 diabetes mellitus.
Journal of Endocrinological Investigation,
,
8.
-
Jajcay, N.,
Bezak,
B.,
Segev,
A.,
Matetzky,
S.,
Jankova,
J.,
Spartalis,
M.,
El Tahlawi,
M.,
Guerra,
F.,
Friebel,
J.,
Thevathasan,
T.,
Berta,
I.,
Polzl,
L.,
Nagele,
F.,
Pogran,
E.,
Cader,
F.
A.,
Jarakovic,
M.,
Gollmann-Tepekoylu,
C.,
Kollarova,
M.,
Petrikova,
K.,
Tica,
O.,
Krychtiuk,
K.
A.,
Tavazzi,
G.,
Skurk,
C.,
Hubert,
K. &
Bohm,
A.
(2023).
Data processing pipeline for cardiogenic shock prediction using machine learning.
Frontiers in Cardiovascular Medicine,
10,
1132680.
-
Jajcay, N.,
Cakan,
C. &
Obermayer,
K.
(2022).
Cross-Frequency Slow Oscillation-Spindle Coupling in a Biophysically Realistic Thalamocortical Neural Mass Model.
Frontiers in Computational Neuroscience,
16,
769860.
-
Cakan,
C.,
Jajcay, N. &
Obermayer,
K.
(2021).
neurolib: A Simulation Framework for Whole-Brain Neural Mass Modeling.
Cognitive Computation,
15,
1132-1152.
-
Bohm,
A.,
Snopek,
P.,
Tothova,
L.,
Bezak,
B.,
Jajcay, N.,
Vachalcova,
M.,
Uher,
T.,
Kurecko,
M.,
Kissova,
V.,
Danova,
K.,
Olejnik,
P.,
Michalek,
P.,
Hlavata,
T.,
Petrikova,
K.,
Mojto,
V.,
Kyselovic,
J. &
Farsky,
S.
(2021).
Association Between Apelin and Atrial Fibrillation in Patients With High Risk of Ischemic Stroke.
Frontiers in Cardiovascular Medicine,
8,
742601.
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Jajcay, N.,
Kravtsov,
S.,
Sugihara,
G.,
Tsonis,
A.
A. &
Paluš,
M.
(2018).
Synchronization and causality across time scales in El Niño Southern Oscillation.
npj Climate and Atmospheric Science,
1(1),
33.
-
Krakovská,
A.,
Jakubík,
J.,
Chvosteková,
M.,
Coufal,
D.,
Jajcay, N. &
Paluš,
M.
(2018).
Comparison of six methods for the detection of causality in a bivariate time series.
Physical Review E - Statistical, Nonlinear, and Soft Matter Physics,
97(4),
042207.
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Coufal,
D.,
Jakubík,
J.,
Jajcay, N.,
Hlinka,
J.,
Krakovská,
A. &
Paluš,
M.
(2017).
Detection of coupling delay: A problem not yet solved.
Chaos,
27(8),
083109.
-
Hlinka,
J.,
Hartman,
D.,
Jajcay, N.,
Tomeček,
D.,
Tintěra,
J. &
Paluš,
M.
(2017).
Small-world bias of correlation networks: From brain to climate.
Chaos,
27(3),
035812.
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Hlinka,
J.,
Jajcay, N.,
Hartman,
D. &
Paluš,
M.
(2017).
Smooth information flow in temperature climate network reflects mass transport.
Chaos,
27(3),
035811.
-
Jajcay, N.,
Hlinka,
J.,
Kravtsov,
S.,
Tsonis,
A.
A. &
Paluš,
M.
(2016).
Time scales of the European surface air temperature variability: The role of the 7 – 8 year cycle.
Geophysical Research Letters,
43,
902–909.
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Runge,
J.,
Petoukhov,
V.,
Donges,
J.
F.,
Hlinka,
J.,
Jajcay, N.,
Vejmelka,
M.,
Hartman,
D.,
Marwan,
N.,
Paluš,
M. &
Kurths,
J.
(2015).
Identifying causal gateways and mediators in complex spatio-temporal systems.
Nature Communications,
6,
8502.
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Vejmelka,
M.,
Pokorná,
L.,
Hlinka,
J.,
Hartman,
D.,
Jajcay, N. &
Paluš,
M.
(2014).
Non-random correlation structures and dimensionality reduction in multivariate climate data.
Climate Dynamics,
44,
2663–2682.
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Hlinka,
J.,
Hartman,
D.,
Jajcay, N.,
Vejmelka,
M.,
Donner,
R.,
Marwan,
N.,
Kurths,
J. &
Paluš,
M.
(2014).
Regional and inter-regional effects in evolving climate networks.
Nonlinear Processes in Geophysics,
21(2),
451-462.
Conference proceedings
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Jajcay, N. &
Paluš,
M.
(2016).
Information transfer across temporal scales in atmospheric dynamics.
In
A.
Banerjee,
W.
Ding,
J.
Dy,
V.
Lyubchich &
A.
Rhines
(Eds.),
Proceedings of the 6th International Workshop on Climate Informatics: CI 2016, Boulder, CO, USA (pp. 113-116).
Boulder, CO, USA: NCAR.
-
Jajcay, N. &
Paluš,
M.
(2016).
Statistical Modelling in Climate Science.
In
B.
Brejová
(Ed.),
Proceedings of the 16th ITAT Conference Information Technologies - Applications and Theory, Tatranské Matliare, Slovakia (pp. 102-109).
CEUR Workshop Proceedings vol. 1649: CEUR.
Books / book chapters
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Jajcay, N.
(2017).
Chaos — psilocybin v mozku (in Czech). In
F.
Tylš
(Ed.)
Fenomén psychedelie
(pp. 37-40).
Prague, CZ: dybbuk.