Tuesday 1 December 2020
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EITN Spring School in Computational Neuroscience

The institute organize a yearly Spring School in Computational Neuroscience in Paris. The school consists of a 10-day intensive course in theoretical and computational neuroscience, from cellular to whole-brain levels. The training covers :

  • cellular models, and models of brain signals,
  • circuit models and networks,
  • mean-field models,
  • whole-brain models.


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. 


Structured by theme, the school combines lectures, tutorials, and project work. A group of 20 students is selected each year.

See the previous edition : https://springschool2020.sciencesconf.org/