EITN Fall School in Computational Neuroscience 2024
Marseille, 16-25 October 2024
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 at 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 with these topics.
Why join?
10 days of intensive training in computational neuroscience provided by researchers from all
over Europe.
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A complete program:
• Cellular models, and models of brain signals
• Circuit models and networks
• Mean-field models
• Whole-brain models
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Hands-on learning schedule based on:
• Morning classes and tutorials
• Group projects in the afternoon
• Free time in the evenings and on Sunday to visit Marseille
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How to apply?
This training has a limited capacity of 28 students, therefore a selection will be performed by a scientific
organizing committee. Applications
are open until 09 June 2024.
Application:
a one-page CV, a motivation letter to explain why you would like to attend this course, and a recommendation letter.
The file names must start with your name
(e.g., NAME_CV.pdf, etc....).
Send your application by email at
eitnfs2024@groups.emdesk.com
You will receive a confirmation your application has been received within 5 working days (or on the day the
application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again.
This training is designed to be attended in person in Marseille. It will not be recorded nor accessible
remotely.
Organizers:
Damien Depannemaecker (AMU), Alain Destexhe (CNRS), Viktor Jirsa (AMU)
Preliminary list of Faculty and Speakers:
Viktor Jirsa (AMU, Marseille France)`
Alain Destexhe (NeuroPSI, Paris, France))
Sacha Van Alba (Research Centre Jülich and University of Cologne, Allemagne)
Egidio D’Angelo (University of Pavia, Italie)
Michaele Migliore (National Research Council, Palerme, Italie)
Andrea Brovelli (AMU, Marseille France)
Matthieu Gilson(AMU, Marseille France)
Marja-Leena Linne (Tempere University, Finlande)
Spase Petkoski (AMU, Marseille France)
Damien Depannemaecker(AMU, Marseille France)
HuifangWang (AMU, Marseille France)
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