Course Details
| Language | English |
| Duration | 9 weeks |
| Effort | 3-5 hours/wk |
Modern neuroscience is multidisciplinary and collaborative. We need to integrate knowledge of experimental and theoretical approaches to neuroscience, and look at the brain and brain function from different perspectives: for example, genes can partially explain differences in reading ability, but there is no single gene that makes someone a good or a poor reader. And genes can be turned on and off by external factors such as someone’s diet or a virus infection. So to understand something as complex as reading ability, we need to stitch together knowledge about the role of genes, proteins, cells, and large networks of cells.
In this course on cell biology, we will focus on the principles governing cell function such as cellular anatomy, metabolism, cell communication and electrophysiology. We will introduce you to the field of metabolomics and its applications as well as present experimental and computational approaches to study the cells of the nervous system. A special focus is placed on translational neuroscience, exploring how fundamental cellular principles relate to neurological disorders, with multiple sclerosis (MS) serving as a case study. Additionally, you will engage with the challenges and opportunities presented by big data in neuroscience, computational modeling, and integrative simulations, which are paving the way for future biomedical advancements. By the end of this course, you will have a comprehensive understanding of how the nervous system operates at a cellular level and how this knowledge can be leveraged for biomedical research and therapeutic applications.
This course is for anyone who has a basic understanding of cell biology and wants to learn about brain function from a broad biological perspective.
week 1: Cells of the nervous system
week 2: Electrical properties
week 3: Cell communication
week 4: Cellular metabolism
week 5: Metabolic coupling and metabolome
week 6: Experimental approaches in electrophysiology
week 7: Cell classification
week 8: Multiple sclerosis: from bench to bedside
week 9: Modeling and simulation
Each week will include a video lecture or reading material, practice exercises, online tools to access existing data as well as a reading list if you wish to learn more on the week's subject. The week will be concluded by a graded assignment.
You will learn from top scientists, specialised in each field, and have access to research databases and learning resources such as brain atlases and brain modeling tools. We aim to show you how these new tools can help integrate the vast amounts of neuroscience data available to innovate medical technologies and therapies. And we will teach you how to use these tools for your own research and understanding.
Leonor Teles-Grilo Ruivo is a distinguished neuroscientist and program manager dedicated to advancing equal opportunities in the life sciences. Leonor Ruivo earned her PhD in Neuroscience from University College London (UCL) in 2015, where they conducted …
Jack Mellor graduated from the University of Cambridge in 1995 with a degree in Neurophysiology and remained in Cambridge to pursue a PhD on the biophysics and pharmacology of inhibitory synaptic transmission at the MRC Laboratory of Molecular Biology und…
Jean-Yves Chatton received his PhD degree in Pharmacology from the University of Lausanne, Switzerland, followed by post-docs at NIH (Bethesda, MD) and in Bern. He is the head of the Cellular Imaging Facility at University of Lausanne and leads a research…
ay Coggan is a neuroscientist and research leader with extensive experience in synaptic physiology, computational neuroscience, and translational research. He is the Founder of My Science Agents and Board President of the NeuroLinx Research Institute, a n…
Stépnahie Battini has a Ph.D. in Medical Sciences with a strong foundation in physics, computational neuroscience, and bioinformatics. Her work spans from metabolomics to multi-scale brain modeling, always grounded in reproducible, data-driven research. S…
ish Ranjan is a scientist at the École Polytechnique Fédérale de Lausanne (EPFL), contributing to both the Blue Brain Project (BBP) and the Neural Microcircuitry Laboratory (LNMC). His research focuses on the kinetic characterization of voltage-gated ion …
Clinician researcher, Caroline Pot is a neurologist specializing in the management of neuroinflammatory pathologies such as multiple sclerosis. In 2015, she joined the Neurology Department of the CHUV where she developed a mixed clinical and research acti…
mandine Mathias is a neuroscientist and immunologist with a robust background in both research and clinical applications. She earned her Master's degree in Neuroscience from the University of Strasbourg in 2014, followed by a Ph.D. in Neuroscience from th…
Free online courses from École polytechnique fédérale de Lausanne
EPFL is the Swiss Federal Institute of Technology in Lausanne. The past decade has seen EPFL ascend to the very top of European institutions of science and technology: it is ranked #1 in E…
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