EITN Fall School in Computational Neuroscience 2023
Paris, 20-29 September 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 with 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
How to apply?
This training has a limited capacity of 20 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until 30 June 2023.
Send your application by email at firstname.lastname@example.org
The application should consist of a one-page CV and a motivation letter to explain why you would like to attend this course.
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.
Contact email@example.com 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 as well
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 designed to be attended in-person in Paris. It will not be recorded nor accessible remotely.
Preliminary list of Faculty and Speakers:
Matteo di Volo
Sacha Van Albada