Welcome to the website of the complex networks and brain dynamics group. The workgroup is a part of the Department of Complex Systems of the Institute of Computer Science of the Czech Academy of Sciences.
Group GitHub is here.


*Open postdoc / research fellow positions available:

Research areas

We focus on the development and application of methods of analysis and modelling of real-world complex networked systems, with particular interest in the structure and dynamics of human brain function. Our main research areas are:

  • Brain networks
    • Neuroimaging data analysis
    • Brain dynamics modelling
  • Causal interaction inference
    • Causality and information flow inference
    • Nonlinearity and nonstationarity
  • Complex network analysis
    • Graph theory
    • Machine learning and multivariate statistics
    • Application in neuroscience, climate research, economics, ...

Selected publications

Bidirectional Interaction of Hippocampal Ripples and Cortical Slow Waves Leads to Coordinated Spiking Activity During NREM Sleep
P Sanda, P Malerba, X Jiang, G Krishnan, J Gonzalez-Martinez, E Halgren, M Bazhenov
Cerebral Cortex, 2021, 31, 324-340

Critical slowing down as a biomarker for seizure susceptibility
M Maturana,C Meisel,K Dell,P Karoly,W DSouza,D Grayden,A Burkitt,P Jiruska,J Kudlacek,J Hlinka
Nature Communications, 2020, 11(1), 1–12

Loss of neuronal network resilience precedes seizures and determines the ictogenic nature of interictal synaptic perturbations
WC Chang, J Kudlacek, J Hlinka, J Chvojka, M Hadrava, V Kumpost, ...
Nature neuroscience, 2018, 21 (12), 1742

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, 2017, 27 (3), 035812

Identifying causal gateways and mediators in complex spatio-temporal systems
J Runge, V Petoukhov, JF Donges, J Hlinka, N Jajcay, M Vejmelka, D Hartman, ...
Nature communications, 2015, 6, 8502

Reliability of inference of directed climate networks using conditional mutual information
J Hlinka, D Hartman, M Vejmelka, J Runge, N Marwan, J Kurths, M Paluš
Entropy, 2013, 15 (6), 2023-2045

Functional connectivity in resting-state fMRI: Is linear correlation sufficient?
J Hlinka, M Paluš, M Vejmelka, D Mantini, M Corbetta
Neuroimage, 2011, 54 (3), 2218-2225


Institute of Computer Science
The Czech Academy of Sciences
Pod Vodárenskou věží 271/2
182 07 Praha 8
- GPS: 50°07'21.7"N 14°28'06.0"E, w3w: ///dose.sailing.advising