EITN EBRAINS Fall School in Computational Neuroscience

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 with these topics.

Organizers:

Damien Depannemaecker (AMU), Alain Destexhe (CNRS), Viktor Jirsa (AMU)

Why join?

10 days of intensive training in computational neuroscience provided by researchers from all over Europe.

A complete programme:

• Cellular models, and models of brain signals

• Circuit models and networks

• Mean-field models

• Whole-brain models

• Click here to see the full programme

Hands-on learning schedule based on:

• Morning classes and tutorials

• Group projects in the afternoon

• Free time in the evenings to visit Marseille

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 07 July 2024.

Please send your application by email to eitnfs2024@protonmail.ch.

The application should consist of a one-page CV, a motivation letter to explain why you would like to attend this course, and a recommendation letter.

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.

Selection criteria include:

• Working or studying in neuroscience or related

• Experience in Python programming would help

• Priority is given to Ph.D. students as the primary target of this training, although Master students and post-docs are welcome to apply as well

Practical information:

If selected, the registration will be done in July, fees will not exceed 400€, and waivers will be available. If selected, you will need to bring your own laptop with a few pre-installed programs.

Location : In maybe the oldest city in France, the Phocaean City Marseille

The venue is planned to be: 

from 16th to 21st of October (except on Saturday morning): 

Amphithéâtre Gastaut
Aix-Marseille Université
58, boulevard Charles Livon
Jardin du Pharo
13007 Marseille
https://2024.legfr.fr/docs/Access_amphi_Gastaut.pdf

The rest of the school will be at:

Campus Timone (Salle 6 - green Aisle- Faculté des Sciences Médicales et Paramédicales)
27 Bd Jean Moulin
13005 Marseille
https://smpm.univ-amu.fr/fr/contacts-acces#section-4576

This training is designed to be attended in person in Marseille. It will not be recorded nor accessible remotely.

List of Speakers:

• Egidio D’ANGELO

• Iiro AHOKAINEN

• Nina BALDY

• Andrea BROVELLI

• David DAHMEN

• Damien DEPANNEMAECKER

• Alain DESTEXHE

• Matteo DI VOLO

• Matthieu GILSON

• Viktor JIRSA

• Anno KURTH

• Marja-Leena LINNE

• Jorge MEJIAS

• Rej METI

• Michele MIGLIORE

• Spase PETKOSKI

• Viktor SIP

• Marcel STIMBERG

• Xiao-Jing WANG

• Huifang WANG

• Marmaduke WOODMAN

• Katja ZOSSIMOVA

• Valery BRAGIN

• Martin BREYTON

• Elif KOKSAL ERSOZ

• Barna ZAJZON

• Martin BREYTON

• Chloé DUPRAT

Click here to see the full programme