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Institute of Neuroscience and Medicine

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Modelling & Simulation

We utilize theoretical and numerical modelling approaches to investigate the emergence of spatio-temporal patterns of neuronal dynamics based on the brain connectivity revealed by experimental studies.

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In the nervous system, physiological synchronization processes and more complex patterns of activity are important, for example, in the context of information processing and motor control. In the framework of interdisciplinary research, by combining theoretical, numerical and experimental approaches, functional neuronal interactions within and between neuronal clusters in the brain can be modelled and investigated. Methods of nonlinear dynamics and statistical physics are used to understand fundamental mechanisms of neuronal dynamics. Mathematical models of different complexity, ranging from ensembles of coupled phase oscillators to generic and microscopic neuronal networks, can be used to describe how functional neuronal networks emerge and evolve in health and disease.