The CNS group has a long history of studying neural systems and developing models of biological neural networks, cells and signal transduction pathways. The models developed by us help to explain the different observed types of excitability, activity dynamics and neurotransmission as well as growth, plasticity and learning in the brain. The work promotes understanding of complex dynamic phenomena underlying the structural and functional properties of the brain circuitry in health and disease. We use both detailed biophysical and biochemical (data-driven) and phenomenological modeling approaches while employing a variety of mathematical and computational techniques, not conventionally used in neuroscience.

We are a core member of the EU Future Emerging Flagship (FET) Human Brain Project (https://www.humanbrainproject.eu/en/), where we contribute to the development of neuroscience infrastructure in theory, simulation and neuromorphic engineering and develop computational models of glial-neuronal interactions.