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, young postdocs, or master studentsinterested 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.
Organizers
Sacha Van Albada (Julich) Albert Gidon (U Berlin) Hermann Cuntz (Frankfurt Institute for Advanced Studies, Ernst Strüngmann Institute) Alain Destexhe (CNRS) Matteo di Volo (University Lyon 1) Spase Petkoski (Aix-Marseille Univ.) Gorka Zamora-Lopez (Universitat Pompeu Fabra)
To be completed.
Information
Who is this training for?
Neuroscience (and related fields) students and related
Post-doctoral/early-career researchers
Why join?
10 days of intensive training in computational neuroscience provided by researchers from all over Europe
Small scale event: get to connect!
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
How to apply?
This training has a limited capacity of 20 students, therefor a selection will be performed by a scientific organizing committee. Applications are open until 30 June 2022.
Send your application by email at eitn@neuro-psi.fr. You will receive a confirmation your application has be received within 5 working days (or on the day application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again. Contact eitn@neuro-psi.fr for any question or assistance.
Selection criteria include:
Working or studying in neuroscience or related
Experience in python programming would help
Priority is given to PhD students as the primary target of this training, although Master students and post-docs are welcome to apply
Practical information:
If selected, registration fee to attend the training is 400€.
If selected, you will need to bring your own laptop with a few pre-installed programs.
The tuition fee includes lunch, coffee, access to conference facilities and internet connection during the course days (Sunday not included).
Location Institut Supérieur Clorivière, 119 Bd Diderot, 75012 Paris
This training is design to be attended in-person in Paris. It will not be recorded nor accessible remotely.
Faculty/speakers
Nicolas Brunel Hermann Cuntz Gustavo Deco Alain Destexhe Matteo di Volo Albert Gidon Jennifer Goldman Moritz Helias Borana Dollomaja Maurizio Mattia Spase Petkoski Bartosz Telenczuk Sacha Van Albada Gorka Zamora-Lopez Damien Depannemaecker Domenico Guarino Marcel Stimberg Jorge Mejias Kirsten Fischer Michael Dick Renan Shimoura András Ecker Konstantinos-Evangelos Petousakis Marja-Leena Linne Gaute Einevoll Agnes Korcsak-Gorzo Barna Zajzon Jan Fousek Rodrigo Cofre