Head

Jaroslav Hlinka is the Head of the Department of Complex Systems at the Institute of Computer Science, Czech Academy of Sciences and also the Chair of the Institute's Council. His research interests lie in developing and application of methods for data-driven analysis of real-world complex systems, with main focus on human brain.

Scientists

David Hartman is working on problems concerning complex networks with regard to reliable construction as well as emergence of stuctural phenomena. The corresponding application domains includes those in neurological research or climatology. Another reseach domain is analysis of symmetrical relational structures and particularly graph or colored graphs possesing ultrahomogeneous or homomorphism-homogenous property.
Pavel Sanda research focuses on modeling dynamics of biologically inspired neural networks. That includes both simple sensory circuits and more complex networks involved in coordinated activity of cortico-thalamic loop as well as the rules which govern synaptic platicity between the neurons in the modeled circuitry.
Helmut Schmidt’s research focuses on computational techniques to understand and reproduce the dynamics of biological neural networks, ranging from small-scale networks to the entire (human) brain. While the mainstay of this effort is computational modelling of neuronal circuits, he is also interested in developing new methods for time series analysis, especially model-based data analysis. Applications encompass neuronal information processing (working memory, language acquisition) as well as disorders of large-scale neuronal networks, especially epilepsy.

Postdocs

Anna Pidnebesna is working on modeling and analysis of real-world complex systems. Her main work is connected with developing and applying data analysis methods, frequently using connectivity matrices and sparse linear approaches. The human brain investigation is the main application part.
  • Mgr. Nikola Jajcay, Ph.D.
Nikola Jajcay is a computational neuroscientist focusing on biophysically realistic population models and heterogeneous whole-brain modelling. Besides the main focus, his research interests include causality in complex systems, biostatistics, data science & Bayesian approaches.
  • Kopal Jakub, Ing., Ph.D.
Jakub Kopal is currently working at the intersection of system neuroscience and genetics. His research interests include neuroscience and data analysis, with a particular focus on the role of connectivity in brain functioning.
  • Stella Maris Sanchez, Ph.D.
Stella M. Sanchez has a PhD in physics with focus on multimodal neuroimaging techniques. Her main research interests include structural and functional brain connectivity on healthy subjects but also on patients with mental disorders, tractography and MRI physics. Currently, Stella is working on brain modelling and developing strategies to combine this with her experience in neuroimaging to study brain dynamics.


  • Shih-Cheng Chien, Ph.D.
Shih-Cheng (Vincent) Chien's research is centered around computational modeling aimed at unraveling the intricacies of cortical microcircuits and their role in supporting essential brain functions, including sensory processing, deviance detection, attention, and working memory.


  • Giulio Tani Raffaelli, Ph.D.
Giulio Tani Raffaelli has a PhD in the physics of complex systems, focusing on stochastic processes, inference, and information theory. His main research interests are in the application of information-theoretic approaches to analysing brain data, from non-linearities to temporal relationships.


  • Dominik Klepl, MSc, Ph.D.
Dominik Klepl holds a PhD in data science, specialising in graph learning to model neuroimaging data. His primary research interest is leveraging machine learning and deep learning techniques in computational neuroscience and psychiatry. Additionally, Dominik is interested in explainable artificial intelligence, graph inference and data science.
  • Wojciech Goch, Ph.D.
Wojciech Goch holds a PhD in biology, and specializes in theoretical models of molecular biochemistry. His main research interests are 3D reaction - diffusion models, dynamic models of enzymatic pathways in neuronal networks and time series analysis. He has also experience in a wide range of research topics including modeling and validation of spectroscopic data, statistical analysis of clinical data and application of Machine Learning methods in geoinformatics.
  • Guillaume Girier, MSc, Ph.D.
During my PhD obtained in 2024 in computational neuroscience, I had the opportunity to study neuronal excitability from a mathematical, computational and experimental point of view. In this context, I was able to specialize in the slow-fast study of ODE, in the continuation algorithm applied to experiments, but also the application of protocols on a Patch-Clamp setup.

Research assistants

  • Madhurima Bhattacharjee, Ph.D.
  • Katarzyna Kazimierczak, Ing.
  • Jakub Svoboda, Ing.
  • Karolína Volfíková, Ing.

PhD students

  • Barbora Rehák Bučková, Mgr.
  • Isa Dallmer-Zerbe, Mgr.
  • Jakub Kořenek, Ing.
  • Stanislav Jiříček, Ing.
  • Lucia Jajcay, Mgr.

Project coordinator

  • Pokorná Magda

Alumni

  • Arthur Matsuo Yamashita, Ph.D.
  • Luigi Caputi, Ph.D.
  • Michal Hadrava, Ing.
  • Alberto Pérez, Ph.D.
  • Jacob Billings, Ph.D.
  • Bc. Filip Blaštík (as graduate student)
  • Nicola Cinardi, Ph.D.
  • Katarína Studeničová, Ing.