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, 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 students will form thematic groups to work on predefined subjects, with the help of tutors.
Organizers
Alain Destexhe (CNRS), Matteo di Volo (Cergy Pontoise University), Albert Gidon (Larkum Lab – Humboldt-Universität zu Berlin), Viktor Jirsa (Aix-Marseille Univeristy), Spase Petkoski (Aix-Marseille Univeristy), Sacha van Albada (Forschungszentrum Jülich), Gorka Zamora Lopez (Pompeu Fabra University)
Why join?
10 days of intensive training in computational neuroscience provided by researchers from all over Europe.
A complete program:
- Cellular models, and models of brain signals
- Circuit models and networks
- Mean-field models
- Whole-brain models
Hands-on learning schedule based on:
- Morning classes and tutorials
- Group projects in the afternoon
- Free time in the evenings to visit Paris
If you are a PhD student, a young postdoc, or a Master student, take the opportunity of this 10-day training to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building.
See the previous edition : springschool2020.sciencesconf.org
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