EITN Spring School in Computational Neuroscience

Rue de la Croix Nivert, 75015 Paris, France

April 10, 2019 – April 19, 2019

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, and whole-brain models.  There will be lectures and tutorials associated to these topics.

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.
The course will be at a location in Paris which will provide enough room and wifi access to run the course.

The address is: Rue de la Croix Nivert, 75015 Paris.

Preliminary list of speakers and organizers:

Cellular models and brain signals:
 Idan Segev
 Michele Giugliano
 Huib Mansvelder
 Renato Duarte
 Gaute Einevoll
 Bartosz Telenczuk

Network models and brain circuits:
 Sacha van Albada
 Moritz Helias
 David Dahmen

Mean-field and population models:
 Alain Destexhe
 Marc de Kamps
 Olivier Faugeras
 Matteo di Volo
Whole-Brain models:
 Viktor Jirsa
 Spase Petkoski
 Gustavo Deco
 Gorka Zamora-Lopez
 Matthieu Gilson

Please send a CV and a motivation letter (explaining why do you need to attend the course) to the following address:


Register here: https://eitn-sscn.sciencesconf.org