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Nikola Jajcay
Nikola Jajcay
National Institute of Mental Health, Czechia
Verified email at nudz.cz - Homepage
Title
Cited by
Cited by
Year
Identifying causal gateways and mediators in complex spatio-temporal systems
J Runge, V Petoukhov, JF Donges, J Hlinka, N Jajcay, M Vejmelka, ...
Nature communications 6 (1), 8502, 2015
2882015
Comparison of six methods for the detection of causality in a bivariate time series
A Krakovská, J Jakubík, M Chvosteková, D Coufal, N Jajcay, M Paluš
Physical Review E 97 (4), 042207, 2018
832018
Non-random correlation structures and dimensionality reduction in multivariate climate data
M Vejmelka, L Pokorná, J Hlinka, D Hartman, N Jajcay, M Paluš
Climate Dynamics 44, 2663-2682, 2015
452015
Small-world bias of correlation networks: From brain to climate
J Hlinka, D Hartman, N Jajcay, D Tomeček, J Tintěra, M Paluš
Chaos: An Interdisciplinary Journal of Nonlinear Science 27 (3), 2017
382017
Time scales of the European surface air temperature variability: The role of the 7–8 year cycle
N Jajcay, J Hlinka, S Kravtsov, AA Tsonis, M Paluš
Geophysical Research Letters 43 (2), 902-909, 2016
372016
Synchronization and causality across time scales in El Niño Southern Oscillation
N Jajcay, S Kravtsov, G Sugihara, AA Tsonis, M Paluš
npj Climate and Atmospheric Science 1 (1), 33, 2018
332018
Detection of coupling delay: A problem not yet solved
D Coufal, J Jakubík, N Jajcay, J Hlinka, A Krakovská, M Paluš
Chaos: An Interdisciplinary Journal of Nonlinear Science 27 (8), 2017
312017
neurolib: A simulation framework for whole-brain neural mass modeling
C Cakan, N Jajcay, K Obermayer
Cognitive Computation 15 (4), 1132-1152, 2023
282023
Regional and inter-regional effects in evolving climate networks
J Hlinka, D Hartman, N Jajcay, M Vejmelka, R Donner, N Marwan, ...
Nonlinear Processes in Geophysics 21 (2), 451-462, 2014
222014
Smooth information flow in temperature climate network reflects mass transport
J Hlinka, N Jajcay, D Hartman, M Paluš
Chaos: An Interdisciplinary Journal of Nonlinear Science 27 (3), 2017
172017
Cross-frequency slow oscillation–spindle coupling in a biophysically realistic thalamocortical neural mass model
N Jajcay, C Cakan, K Obermayer
Frontiers in Computational Neuroscience 16, 769860, 2022
62022
Association between apelin and atrial fibrillation in patients with high risk of ischemic stroke
A Bohm, P Snopek, L Tothova, B Bezak, N Jajcay, M Vachalcova, T Uher, ...
Frontiers in Cardiovascular Medicine 8, 1298, 2021
62021
Data processing pipeline for cardiogenic shock prediction using machine learning
N Jajcay, B Bezak, A Segev, S Matetzky, J Jankova, M Spartalis, ...
Frontiers in Cardiovascular Medicine 10, 1132680, 2023
32023
Artificial intelligence model for prediction of cardiogenic shock in patients with acute coronary syndrome
A Bohm, N Jajcay, J Jankova, K Petrikova, B Bezak
European Heart Journal: Acute Cardiovascular Care 11 (Supplement_1), zuac041 …, 2022
32022
Technical and practical aspects of artificial intelligence in cardiology.
A Bohm, N Jajcay
Bratislavske Lekarske Listy 123 (1), 16-21, 2022
32022
Plasmatic apelin shows a promising potential as a screening biomarker for atrial fibrillation
B Bezak, P Snopek, L Tothova, N Jajcay, V Mojto, S Farsky, K Gmitterova, ...
CLINICAL STUDY 368, 372, 2023
22023
In-vitro antiplatelet effect of melatonin in healthy individuals and patients with type 2 diabetes mellitus
A Böhm, V Lauko, K Dostalova, I Balanova, I Varga, B Bezak, N Jajcay, ...
Journal of Endocrinological Investigation 46 (12), 2493-2500, 2023
12023
Computational modeling allows unsupervised classification of epileptic brain states across species
I Dallmer-Zerbe, N Jajcay, J Chvojka, R Janca, P Jezdik, P Krsek, ...
Scientific Reports 13 (1), 13436, 2023
12023
Prospective Clinical Validation of the STOPSHOCK Smartphone Application-Artificial Intelligence Model for Prediction of Cardiogenic Shock in Patients With Acute Coronary Syndrome
A Bohm, N Jajcay, M Spartalis, E Gubareva, J Jankova, A Segev, ...
Circulation 148 (Suppl_1), A14290-A14290, 2023
2023
Towards a dynamical understanding of microstate analysis of M/EEG data
N Jajcay, J Hlinka
NeuroImage 281, 120371, 2023
2023
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