EITN Fall School in Computational Neuroscience 2023

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, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. This course has a limited capacity of 20 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until 30 June 2023. Send your application by including a resume and cover letter at eitn@neuro-psi.fr Organizers: Sacha Van Albada (Julich), Albert Gidon (U Berlin), Hermann Cuntz (Ernst Strüngmann Institute, Frankfurt), Alain Destexhe (CNRS), Matteo di Volo (University Lyon 1), Spase Petkoski (Aix-Marseille Univ.), Gorka Zamora-Lopez (Universitat Pompeu Fabra) More information at https://eitn.cnrs.fr/events/eitn-fall-school-2023/