Project information
Mathematical modeling of very and ultra-fast oscillations in EEG signals
(ModelingUFOs)
- Project Identification
- MUNI/G/1213/2022
- Project Period
- 5/2023 - 12/2025
- Investor / Pogramme / Project type
-
Masaryk University
- Grant Agency of Masaryk University
- INTERDISCIPLINARY - Interdisciplinary research projects
- MU Faculty or unit
- Faculty of Science
- Other MU Faculty/Unit
- Faculty of Medicine
- Other MU Faculty/Unit
- Central European Institute of Technology
This interdisciplinary project on modeling EEG signals links knowledge of the Research and Modeling Team of Nonlinear Dynamics from the Department of Mathematics and Statistics, Faculty of Science, Masaryk University, The First Department of Neurology and CEITEC, Faculty of Medicine, Masaryk University in collaboration with Institute of Scientific Instruments of the CAS. According to recent findings, synchronized very high-frequency oscillations (vHFOs) and ultra-fast oscillations (UFOs) in neural mass measured as an EEG signal are related to focal epilepsy. A model simulating analogous dynamics in neural mass using the latest approaches offered by nonlinear dynamics, bifurcation theory, as well as modern data-driven approaches to infer dynamics from time series, may advance the diagnostic possibilities of focal epilepsy and seizure detection and possibly contribute to the understanding of the origin of the neurological disorder.
Publications
Total number of publications: 6
2024
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Exploring Synchronization Mechanisms via Bifurcation Analysis – A Unified Approach Across Neuronal, Ecological and Physical Realms
2023 International Conference on Applied Mathematics & Computer Science (ICAMCS), year: 2024
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Neuronal network simulation
Year: 2024
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Weak coupling of neurons enables very high-frequency and ultra-fast oscillations through the interplay of synchronized phase-shifts
Network Neuroscience, year: 2024, volume: 8, edition: 1, DOI
2023
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DSTLS SINDy Optimizer and regression of Hodgkin-Huxley model onto FitzHugh-Nagumo model
Year: 2023, type: Appeared in Conference without Proceedings
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Exploring Synchronization Mechanisms via Bifurcation Analysis - A Unified Approach Across Neuronal, Ecological and Physical Realms
Year: 2023, type: Appeared in Conference without Proceedings
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Exploring Synchronization Mechanisms via Bifurcation Analysis – A Unified Approach Across Neuronal, Ecological and Physical Realms
2023 International Conference on Applied Mathematics & Computer Science (ICAMCS), year: 2023