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The Neurological Disease Modeling course equips students with advanced skills in genetics, neurobiology, molecular assays, biophysics, and statistics. This interdisciplinary program empowers participants to design experiments, analyze complex datasets, and interpret findings to uncover the molecular, structural, and functional aspects of neuronal networks. A key focus is placed on the human genetic background and longitudinal studies.
Participants will gain hands-on experience with advanced techniques to investigate human neuronal networks. They will learn to generate in vitro network models for studying neuronal development in health and disease, as well as acquire practical expertise in obtaining functional data using low- and high-density multi-electrode arrays (MEAs). Additionally, the course introduces epilepsy as a model disorder, showcasing its relevance in bridging clinical needs with experimental approaches. By combining local expertise with guest lectures from clinical and technical experts, the program provides a unique balance of theoretical knowledge and practical skills, preparing participants to excel in neuroscience research.
Learning objectives
By the end of the course, participants will:
- Be able to design and implement in vitro models for studying human neuronal networks in health and disease
- Acquire hands-on expertise in obtaining and analyzing functional data from neuronal networks
- Be prepared to apply human neuronal network on a chip methodologies to uncover the molecular, structural, and functional aspects of neuronal networks, with a focus on the human genetic background and longitudinal studies
- Understand the clinical context of neurological diseases like epilepsy and how to translate experimental findings into research applications
- Develop skills to plan and execute human stem cell-based studies on neuronal networks
- Gain insights into the latest experimental and analytical tools used in neuroscience research