Paris, 20-29 septembre 2023

The EITN Fall 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.The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated to these topics.

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).

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

Liste préliminaire des intervenants :

Jan Antolik
Nicolas Brunel
Hermann Cuntz
Gustavo Deco
Damien Depannemaecker
Alain Destexhe
Matteo di Volo
Gaute Einevoll
Albert Gidon
Moritz Helias
Viktor Jirsa
Marja-Leena Linne
Jorge Mejias
Spase Petkoski
Maria Sacha
Marcel Stimberg
Bartosz Telenczuk
Federico Tesler
Sacha Van Albada
Romain Veltz
Gorka Zamora-Lopez