Hi All,
In the name of the organizers, I'd like to announce the next edition of
the EITN Fall School in Computational Neuroscience, in Paris in
September 20-29, 2023. This school is intended for PhD students
(although we do accept postdocs or Master students occasionally),
and is structured in 4 scales of modeling: cellular, network, populations
and whole-brain models. Each scale is associated with courses and
tutorials on simulation tools such as Neuron, NEST, BRIAN, TVB, etc.
The students form 4 groups to work on a modeling project, with the
help of tutors. The course ends with the student presentations of
the results obtained.
This 10-day intensive course selects students on the basis of their
excellence and need to follow this training. Students interested
should send CV and a motivation letter to eitn@services.cnrs.fr
(deadline end of June 2023).
More details can be found at https://eitn.cnrs.fr/events/eitn-fall-school-2023
Thanks and see (some of) you soon,
Alain
---------------
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
to these topics.
Organizers:
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)
Why join?
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
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 eitn@services.cnrs.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@services.cnrs.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 as well
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.
Preliminary list of Faculty and Speakers:
Jan Antolik
Nicolas Brunel
Hermann Cuntz
Gustavo Deco
Damien Depannemaecker
Alain Destexhe
Matteo di Volo
Gaute Einevoll
Albert Gidon
Moritz Helias
Viktor Jirsa
Marja-Leena Linne
Jorge Mejias
Spase Petkoski
Maria Sacha
Marcel Stimberg
Bartosz Telenczuk
Federico Tesler
Sacha Van Albada
Romain Veltz
Gorka Zamora-Lopez