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EITN Spring School in Computational Neuroscience PARIS,April 10-19, 2019. Organized by the EITN. The EITN Spring School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work. The course is typically aimed for PhD students or young postdocs interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors. The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, models of synaptic plasticity and learning, and whole-brain models. The course is free of charge, but the students interested must apply and be selected by our organizing committee. The EITN does not provide help for travel, lodging or computers. Students are asked to bring their own laptop computer to run the models. Please send a CV and a motivation letter (explaing why do you need to attend the course) to the following address: eitn@unic.cnrs-gif.fr

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